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23 May 2014
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7 May 2014
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5 March 2014
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26 February 2014
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25 February 2014
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18 February 2014
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17 February 2014
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11 February 2014
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Scrum Events
28 January 2014
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JUnit, A Tool for Test-Driven Development
3 January 2014
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Explaining Agile
22 November 2013
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Extreme Programming
15 October 2013
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Scrum Agile Development Process
22 July 2013
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Agile Processes and Scrum
algorithms
18 April 2019
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Notes on Graph Theory
15 April 2018
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The Robot Revolution - The New Age of Manufacturing
14 April 2018
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Evolutionary Generative Adversarial Networks
13 April 2018
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Time Series Generation with Recurrent Conditional GANs
12 April 2018
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Predicting Car Prices using Neural Networks
11 April 2018
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Predicting Car Prices - Linear Regression
10 April 2018
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Deep Reinforcement Learning
9 April 2018
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Brains, Minds and Machines Summer Course
8 April 2018
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OpenAI Meta Learning and Self Play
15 March 2018
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Sequential Implementation of Mesoscopic Simulation
14 March 2018
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Predicting congestion on London's roads with TensorFlow
13 March 2018
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Improving Traffic Prediction Using Weather Data
12 March 2018
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Limitations of Macroscopic and Mesoscopic Simulation
11 March 2018
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Simulation Loop
9 March 2018
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Mesoscopic Simulation
28 February 2018
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Distributed Systems
27 February 2018
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High-Performance Mesoscopic Traffic Simulation
26 February 2018
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Microscopic Simulation
25 February 2018
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Macroscopic Simulation
24 February 2018
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Traffic Simulation Background
19 February 2018
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T tree
7 February 2018
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Cellular Automata
17 January 2018
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Graph Partitioning
6 May 2017
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Computability, Complexity, and Theory - Georgia Tech
29 April 2014
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PageRank Algorithm
28 April 2014
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PageRank History
14 April 2014
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Bloom Filter
20 January 2014
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Confluent and Functional Persistence
19 January 2014
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Full Persistence
18 January 2014
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Partial Persistence
17 January 2014
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Persistent Data Structures
analytics
2 May 2017
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Graphs in Machine Learning
30 April 2017
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Social and Information Network Analysis
29 April 2017
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Structural Analysis and Visualization of Networks
27 September 2015
»
Perform SQL Selects on R Data Frames
26 September 2015
»
R Graphics
25 September 2015
»
Google's R Style Guide
18 September 2015
»
IBM Watson at Work
14 July 2015
»
Hype Cycle
8 March 2014
»
Predictive Methodologies - Analysis of Time and Space
8 March 2014
»
Predictive Methodologies - Analysis of Space
8 March 2014
»
Predictive Methodologies - Analysis of Social Networks
7 March 2014
»
Theoretical Foundations of Data Mining and Predictive Analytics
7 March 2014
»
Data Used in Predictive Policing
6 March 2014
»
Operational Challenges of Predictive Policing
6 March 2014
»
Forecast Vs. Prediction
5 March 2014
»
Recommendations
5 March 2014
»
Predictive Policing Myths and Pitfalls
5 March 2014
»
Prediction-Led Policing Process and Prevention Methods
4 March 2014
»
Predictive Policing
4 March 2014
»
A Taxonomy of Predictive Methods
3 March 2014
»
“Big Data” Promises a Revolution
27 February 2014
»
T-Shaped Data Scientists
26 February 2014
»
Adapting to Change
25 February 2014
»
Agile Big Data
24 February 2014
»
Scales of Big Data
23 February 2014
»
The Variety of Data Scientists
22 February 2014
»
The Real-Time Big Data Architecture (RTDBA) Stack
22 February 2014
»
The Five Phases of Real Time
22 February 2014
»
Case Studies of Analyzing Data
21 February 2014
»
Data Science, Engineering, and Data-Driven Decision Making
21 February 2014
»
Clustering Data Scientists
2 February 2014
»
Solving the Wanamaker Problem for Healthcare
27 January 2014
»
Parallel R
3 January 2014
»
Real-time Operational Intelligence
9 December 2013
»
Analytics vs. Predictive Analytics
9 December 2013
»
The evolution of analytics
big data
31 July 2023
»
What's the difference between programming and coding
30 July 2023
»
Prompt Engineering Overview
24 July 2023
»
Cross-Platform Data Lineage with OpenLineage
24 July 2023
»
Continuous Training and Deployment with ZenML and Seldon
23 July 2023
»
CVPR Highlights 2023
22 July 2023
»
Robust and Trustworthy Deep Learning
21 July 2023
»
PFNs; Use neural networks for 100x faster Bayesian predictions
20 July 2023
»
Multimodal Deep Learning for Protein Engineering
19 July 2023
»
Topological Deep Learning; Going Beyond Graph Data
18 July 2023
»
Is Distance Matrix Enough for Geometric Deep Learning?
17 July 2023
»
Sign and Basis Invariant Networks for Spectral Graph Representation Learning
16 July 2023
»
Distributed and Multiagent Reinforcement Learning
15 July 2023
»
A Distributional Multi-agent Reinforcement Learning Approach
14 July 2023
»
Deploy and Scale Models with BentoML
13 July 2023
»
Tool Agnostic MLOps with ZenML
12 July 2023
»
The Four Pillars of Machine Learning
11 July 2023
»
When to use Kubernetes natively over Kubeflow for ML
10 July 2023
»
Deploy ZenML + Kubeflow + MLflow + Minio
9 July 2023
»
MLOps Pipeline Tutorial with ZenML and Kubeflow
8 July 2023
»
ML models with ZenML and BentoML
7 July 2023
»
Recent Advances in Vision Foundation Models
6 July 2023
»
CVPR 2023 Tutorials
5 July 2023
»
Model Registry and Deployment with MLflow
4 July 2023
»
How to Deploy ML Models in Production with BentoML
3 July 2023
»
Data Science–A Systematic Treatment
2 July 2023
»
LEARN ENGLISH with STEVE JOBS
1 July 2023
»
DuckDB Internals
30 June 2023
»
How to Master the Art of Leadership
29 June 2023
»
Getting Started with ZenML
28 June 2023
»
Generative Models for Language and Vision
27 June 2023
»
ChatGPT, LLMs & Generative AI; What Your Business Needs to Know
26 June 2023
»
Differential Privacy & Variants
21 June 2023
»
Towards Learned Database Systems
20 June 2023
»
Deep Lake; a Lakehouse for Deep Learning
19 June 2023
»
Towards Natural Language Query Answering
2 June 2023
»
Do We Still Need People To Write Database Systems?
1 June 2023
»
Generative AI and Databases
31 May 2023
»
Contrastive Learning in PyTorch
30 May 2023
»
Self-Supervised Learning; Self-Prediction and Contrastive Learning
24 May 2023
»
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks
17 May 2023
»
Bayesian Neural Network
10 May 2023
»
Study Less Study Smart
9 May 2023
»
Kubeflow v1.7 Release Overview
27 April 2023
»
Amazon Redshift Internals
26 April 2023
»
ChatGPT Course – Use The OpenAI API to Code 5 Projects
24 April 2023
»
Installing and Using NVIDIA Docker
18 April 2023
»
Hypertree Decompositions
17 April 2023
»
What is Platform Engineering?
13 April 2023
»
Databricks Spark SQL / Photon
12 April 2023
»
Google BigQuery / Dremel
10 April 2023
»
Personalized Image Generation
9 April 2023
»
Kubeflow Pipelines 2.0
8 April 2023
»
Learning to Transfer Knowledge Through Embedding Spaces
7 April 2023
»
Traffic Prediction with Transfer Learning
7 April 2023
»
First-Passage Percolation and Related Models
6 April 2023
»
Sparse Fourier Transform Algorithm for Real-Time Applications
2 April 2023
»
The Frontier of Deep Learning for Robotics
26 March 2023
»
Microsoft's Products Will Soon Access Open AI Tools Like ChatGPT
25 March 2023
»
LLaMA & Alpaca; "ChatGPT" On Your Local Computer
23 March 2023
»
Multi-Objective Recommender Systems
27 February 2023
»
Hands-on Explainable Recommender Systems with Knowledge Graphs
26 February 2023
»
Improving Recommender Systems with Human in the Loop
12 February 2023
»
Open-Source Systems for Federated Learning
11 February 2023
»
An Introduction to Federated Computation
10 February 2023
»
Data Governance and Sharing on Lakehouse
9 February 2023
»
Data Mesh and Lakehouse
8 February 2023
»
Master Data Management
7 February 2023
»
Setting up Big Data Fabric
6 February 2023
»
On Future of the Modern Data Stack
1 February 2023
»
Data Virtualization in Data Fabric
31 January 2023
»
Recommender Systems using Graph Neural Networks
26 January 2023
»
Activate Your Modern MetaData Stack
24 January 2023
»
Databricks Lakehouse makes payments ingestion and analytics simple
18 January 2023
»
The Essential Guide to Data Lineage
17 January 2023
»
Data Governance Explained in 5 Minutes
16 January 2023
»
Automated Data Lineage with Unity Catalog
9 January 2023
»
Active Metadata - Understanding the magic behind the Data Fabric
8 January 2023
»
Introduction to Data Mesh
7 January 2023
»
PostgreSQL vs MySQL
6 January 2023
»
Activate Your Metadata to Empower Innovation
6 January 2023
»
Accelerating Hybrid Data Mesh Implementation
5 January 2023
»
Deep-Dive into Delta Lake
4 January 2023
»
Delta Lake 2.0 Overview
3 January 2023
»
Advancing Spark - The Photon Whitepaper
2 January 2023
»
Column-Level Lineage and Active Metadata
1 January 2023
»
Five Things to Consider About Data Mesh and Data Governance
30 December 2022
»
Data Mesh Implementation Patterns
29 December 2022
»
Intro to Databricks Lakehouse Platform Architecture and Security
28 December 2022
»
Meshing About with Databricks
27 December 2022
»
Enterprise Data Fabric
26 December 2022
»
Data Fabric for Self-Driving Cars
26 June 2018
»
Speed at Scale - Using GPUs to Accelerate Analytics for Extreme Use Cases
25 June 2018
»
SpatialHadoop - A MapReduce Framework for Big Spatial Data
9 May 2017
»
Mining Massive Data Sets
24 April 2017
»
Latent Space Model for Road Networks to Predict Time-Varying Traffic
18 April 2017
»
Three Applications of Deep Learning in Big Data Analytics
8 April 2017
»
Fog Computing vs. Edge Computing
7 April 2017
»
From Big to Now - The Changing Face of Data
6 April 2017
»
Fast Data at Internet Scale with Amazon ElastiCache for Redis
5 April 2017
»
Fast Data, Fast Monitoring
27 March 2017
»
Wide & Deep Learning; Memorization + Generalization with TensorFlow
27 March 2017
»
Keynote - TensorFlow Dev Summit 2017
25 March 2017
»
Cloud of Things Overview
8 February 2017
»
Big Data and Smart Data
29 June 2016
»
5 Ways to Make Your Hive Queries Run Faster
20 June 2016
»
TensorFlow Introduction
11 May 2016
»
Apache Ignite In-Memory Data Fabric
28 April 2016
»
Introduction to HDFS Erasure Coding in Apache Hadoop
12 January 2016
»
SDN and Big Data
9 January 2016
»
Connected Components in MapReduce and Beyond
8 January 2016
»
Analytics in Motion (AIM)
7 January 2016
»
Big Data is (at least) Four Different Problems
4 January 2016
»
Real-time Big Data Analytics
30 December 2015
»
HiBench Suite
29 December 2015
»
Map-D
26 December 2015
»
MultiQx-GPU
25 December 2015
»
Concurrent Analytical Query Processing with GPUs
24 December 2015
»
Where are the GPU based SQL databases?
23 December 2015
»
Comparing Relational Databases, Memory Cache, and NoSQL
22 December 2015
»
Oracle In-Memory Database Cache Overview
21 December 2015
»
MapGraph
10 December 2015
»
Introducing TPCx-HS Benchmark for Big Data
12 November 2015
»
Big Data, Fast Data The Need for In Memory Database Technology
11 November 2015
»
Arrary DBMS
10 November 2015
»
Arrary Databases
9 November 2015
»
Michael Stonebraker's Talk
19 October 2015
»
Sample Data
18 October 2015
»
Building Tachyon Master Branch
17 October 2015
»
Creating Applications using Spark Streaming
16 October 2015
»
Creating a Spark Applications
15 October 2015
»
Working with RDD Operations
13 October 2015
»
RAMCloud Presentations
12 October 2015
»
Teaching creative computer science
8 October 2015
»
RAMCloud Training
7 October 2015
»
Kudu - New Apache Hadoop Storage for Fast Analytics on Fast Data
6 October 2015
»
GridGain In-Memory Data Fabric
5 October 2015
»
Discardable Memory and Materialized Queries
4 October 2015
»
2014 ACM A.M. Turing Lecture
3 October 2015
»
What is the Future of Hadoop?
2 October 2015
»
Sparrow Paper Review
1 October 2015
»
Spark Architecture Shuffle
30 September 2015
»
Explore In-Memory Data Store Tachyon
29 September 2015
»
Tachyon Overview
27 September 2015
»
Perform SQL Selects on R Data Frames
26 September 2015
»
R Graphics
25 September 2015
»
Google's R Style Guide
24 September 2015
»
Approximate Aggregation Queries in Presto
24 September 2015
»
Off-heap Memory in Apache Flink and the curious JIT compiler
24 September 2015
»
AMP Camp 6
23 September 2015
»
Spark 1.5 DataFrame API Highlights
22 September 2015
»
Fundamentals of Parallel Computing with the GPU
21 September 2015
»
Text Mining and Knowledge Graphs in the Cloud
20 September 2015
»
Knowledge Graph and Cognitive Computing
19 September 2015
»
Using Presto to combine data from Hive and MySQL
18 September 2015
»
IBM Watson at Work
18 September 2015
»
Using HyPer with PostgreSQL Drivers
17 September 2015
»
Knowledge Graph
16 September 2015
»
Big Data and Machine Learning - Keys to AI Progress
14 September 2015
»
Distributed Computing Conferences
10 September 2015
»
Building Good Docker Images
6 September 2015
»
Cognitive Computing
31 August 2015
»
Using Electronic Health Records for Better Care
26 August 2015
»
6 Big Data Analytics Use Cases for Healthcare IT
24 August 2015
»
Four Use Cases for Healthcare Predictive Analytics, Big Data
22 August 2015
»
Five open source Big Data projects to watch
21 August 2015
»
Reservoir Sampling in MapReduce
20 August 2015
»
Clinical Data Repository Versus a Data Warehouse
19 August 2015
»
Top 50 Data Science Resources
18 August 2015
»
High-throughput, low-latency, and exactly-once stream processing with Apache Flink
17 August 2015
»
Hyper
16 August 2015
»
From Big Data to Fast Data
14 August 2015
»
SAP Hana In-Memory Explained In Nine Minutes
13 August 2015
»
Business unIntelligence
12 August 2015
»
The Challenges of Data Science
12 August 2015
»
How Data Science Driven Software is Eating the Connected World
11 August 2015
»
Data Curation as Publishing for the Digital Humanities
10 August 2015
»
How WellCare Accelerated Big Data Delivery to Improve Analytics
9 August 2015
»
Sharing Experiences in Cloud Adoption
8 August 2015
»
IBM Hybrid Transaction Analytic Processing HTAP
7 August 2015
»
What is Hybrid Transaction/Analytical Processing (HTAP)?
6 August 2015
»
CIOs and the Ongoing Data Persistence Struggle
6 August 2015
»
Eight Big Trends in Big Data Analytics
5 August 2015
»
Hybrid Trasansaction/Analytical Processing (HTAP)
4 August 2015
»
Hybrid Trasansactional/Analytical Processing (HTAP)
3 August 2015
»
HTAP and The Future of Data
2 August 2015
»
Does ethical content curation exist? A data-driven answer
1 August 2015
»
Stonebraker points to data curation as next integration step
31 July 2015
»
Three Approaches to Scalable Data Curation
29 July 2015
»
The Landscape of Big Data, Curation
28 July 2015
»
Data Curation
27 July 2015
»
Tackling Data Curation
14 July 2015
»
Hype Cycle
8 July 2015
»
The Virginian Database
7 July 2015
»
The Analytical Bootstrap
5 July 2015
»
DAQ Introduction
4 July 2015
»
A New Paradigm for Approximate Query Processing
30 June 2015
»
Future of big data analytics
29 June 2015
»
Five most popular similarity measures implementation in python
23 June 2015
»
Overview of the Apache Flink
22 June 2015
»
Apache Flink Seminar
16 June 2015
»
MapD (Massively Parallel Database) Overview
15 June 2015
»
Data Science using GPUs
18 May 2015
»
Apache Spark - Caching and Checkpointing Under the Hood
16 May 2015
»
Tensor Decomposition
15 May 2015
»
Higher-order Singular Value Decomposition
14 May 2015
»
Smoothed Analysis of Tensor Decompositions
12 May 2015
»
Spark for Unconventional Cores
12 May 2015
»
Aparapi for Unconventional Cores
10 May 2015
»
Apache Phoenix
9 May 2015
»
Immutability
8 May 2015
»
Parallelism
7 May 2015
»
Column Orientation
6 May 2015
»
Composing and Scaling Data Platforms
5 May 2015
»
Elements of Scale
4 May 2015
»
What is Mesos?
3 May 2015
»
Data Governance Initiative
23 April 2015
»
39 Data Visualization Tools for Big Data
18 April 2015
»
Twitter Scalding
17 April 2015
»
Apache Zeppelin
16 April 2015
»
Transaction Processing on Confidential Data using Cipherbase
15 April 2015
»
Introduction to the Spark
14 April 2015
»
Big Spatial Data Processing using Spark
13 April 2015
»
SpatialSpark
12 April 2015
»
New Directions for Spark in 2015
11 April 2015
»
The Spark SQL Optimizer and External Data Sources API
9 April 2015
»
DataFrame and SQL Operations
8 April 2015
»
Design Patterns for using foreachRDD
7 April 2015
»
Output Operations on DStreams
6 April 2015
»
Transformations on DStreams
5 April 2015
»
DStream Sources
4 April 2015
»
Discretized Streams
3 April 2015
»
Spark Streaming Basic Concepts
2 April 2015
»
Spark Streaming Quick Example
1 April 2015
»
Spark Streaming Overview
26 March 2015
»
Useful Research Related to Apache Drill
17 March 2015
»
Apache Spark
16 February 2015
»
10 ways to query Hadoop with SQL
27 January 2015
»
Analytic Processing Environment (APE)
26 January 2015
»
Analytics vs. OLTP
23 January 2015
»
Layers of Query Processing
22 January 2015
»
Database Workloads
21 January 2015
»
Workload Types
20 January 2015
»
Detailed Characteristics of an Analytic Workload
19 January 2015
»
Characteristics of an Analytic Workload
13 January 2015
»
Workload Management for Big Data Analytics
10 August 2014
»
SIX sparkling features of Apache Spark!
9 August 2014
»
Use Parquet with Impala, Hive, Pig, and MapReduce
8 August 2014
»
Actian Unleashes SQL Users on Hadoop with Easy Access, Faster Performance
7 August 2014
»
Presto as a Service
7 August 2014
»
HIVE as a Service
6 August 2014
»
Understanding the world of SQL on Hadoop.
3 August 2014
»
Serialization
2 August 2014
»
HIVE TPC-DS Benchmark
2 August 2014
»
Distributed Computing with Spark
30 July 2014
»
Why Oracle Big Data SQL Potentially Solves a Big Issue with Hadoop Security
28 July 2014
»
Apache Tez Presentation
27 July 2014
»
Announcing Apache Pig 0.13.0
26 July 2014
»
Benchmarking Apache Hive 13 for Enterprise Hadoop
25 July 2014
»
In-Stream Big Data Processing
24 July 2014
»
Apache Hadoop YARN ResourceManager
23 July 2014
»
Introduction To Pivotal's Next Generation Analytic Data Lake
23 July 2014
»
War of the Hadoop SQL engines. And the winner is …?
22 July 2014
»
Exploring Pivotal HD Single Node (VM)
21 July 2014
»
How Pivotal Works
20 July 2014
»
Parquet - Columnar Storage for the People
19 July 2014
»
Pivotal Big Data Suite
18 July 2014
»
Pivotal HD Introduction & Demo
17 July 2014
»
Special "Use Cases" Big Data & Brews - Hortonworks, Pivotal, MapR
16 July 2014
»
What is Apache Drill?
15 July 2014
»
Drilling into Big Data with Apache Drill
14 July 2014
»
Fun with TPC-H (Part 1)
13 July 2014
»
Implementing Drill Math Functions
12 July 2014
»
Presto By Facebook – A SQL Engine
11 July 2014
»
Big Data - The Hadoop Data Warehouse
10 July 2014
»
Building a Data Warehouse with Hadoop
4 July 2014
»
Datawarehouse
18 June 2014
»
Big Data Architecture
17 June 2014
»
Comparing Information Architecture Operational Paradigms
17 June 2014
»
Big Data Architecture Capabilities
13 June 2014
»
What is SQL-on-Hadoop?
13 June 2014
»
Apache Storm Basics
12 June 2014
»
What does “100 times faster than Hive” actually mean?
12 June 2014
»
GraphX Programming Guide
11 June 2014
»
TPC Benchmark
11 June 2014
»
M7 - Native Storage for MapR Tables
11 June 2014
»
Hadoop 2.4.0 Installation on Mac OS X Mavericks
9 June 2014
»
A Leap Forward With SQL on Hadoop
7 June 2014
»
Special "How it Works" Big Data & Brews
6 June 2014
»
10 undeniable reasons people hate Big Data
11 May 2014
»
5 technologies that will help big data cross the chasm
30 April 2014
»
Big Data & Brews - Ari Zilka, CTO of Hortonworks' Talk
22 April 2014
»
NewSQL Vs. SQL on Hadoop
21 April 2014
»
Presto as a Service
16 April 2014
»
Adding ACID to Apache Hive
15 April 2014
»
Eight SQL on Hadoop Challenges
15 April 2014
»
11 SQL-on-Hadoop Tools
13 April 2014
»
Processing streaming data in Hadoop with Apache Storm
12 April 2014
»
Interactive Query for Hadoop with Apache Hive on Apache Tez
12 April 2014
»
Introducing Apache Tez 0.4
10 April 2014
»
Big Data Genomics Sequencing
5 April 2014
»
Smart Things vs. Many Experienced Things
3 April 2014
»
Hardening Hadoop for Healthcare with Project Rhino
30 March 2014
»
Functional Programming
29 March 2014
»
Why Functional Programming?
28 March 2014
»
Implementing Graph-Based Applications
28 March 2014
»
Designing Graph-Based Applications
27 March 2014
»
Data-intensive Computing
24 March 2014
»
Ensuring the Validity, Veracity, and Volatility of Big Data
24 March 2014
»
Operationalizing Big Data
24 March 2014
»
Modern Oil & Gas Architectures Built with Hadoop
22 March 2014
»
Visualization for Data-Intensive Science
22 March 2014
»
Stanford Network Analysis Platform(SNAP)
22 March 2014
»
Gray’s Laws Database-centric Computing in Science
22 March 2014
»
Connecting to the Scientists
21 March 2014
»
Big Data Dilemma
20 March 2014
»
Polyglot Persistence
8 March 2014
»
Predictive Methodologies - Analysis of Time and Space
8 March 2014
»
Predictive Methodologies - Analysis of Space
8 March 2014
»
Predictive Methodologies - Analysis of Social Networks
7 March 2014
»
Theoretical Foundations of Data Mining and Predictive Analytics
7 March 2014
»
Data Used in Predictive Policing
6 March 2014
»
Operational Challenges of Predictive Policing
6 March 2014
»
Forecast Vs. Prediction
5 March 2014
»
Recommendations
5 March 2014
»
Predictive Policing Myths and Pitfalls
5 March 2014
»
Prediction-Led Policing Process and Prevention Methods
5 March 2014
»
Facebook Presto
4 March 2014
»
Predictive Policing
4 March 2014
»
A Taxonomy of Predictive Methods
3 March 2014
»
“Big Data” Promises a Revolution
27 February 2014
»
T-Shaped Data Scientists
26 February 2014
»
Adapting to Change
25 February 2014
»
Agile Big Data
24 February 2014
»
Scales of Big Data
23 February 2014
»
The Variety of Data Scientists
22 February 2014
»
The Real-Time Big Data Architecture (RTDBA) Stack
22 February 2014
»
The Five Phases of Real Time
22 February 2014
»
Case Studies of Analyzing Data
21 February 2014
»
Data Science, Engineering, and Data-Driven Decision Making
21 February 2014
»
Clustering Data Scientists
20 February 2014
»
PredictionIO
11 February 2014
»
Multi-tenant Database Systems
11 February 2014
»
Big Data in Motion
4 February 2014
»
Building the Health Information Infrastructure for the Modern ePatient
2 February 2014
»
Solving the Wanamaker Problem for Healthcare
25 January 2014
»
Understanding the Types of Big Data Problems
3 January 2014
»
The Invention of Stream Computing
2 January 2014
»
The Emergence of NoSQL
21 December 2013
»
Modelling in Big Data
16 December 2013
»
Analyzing Data in Motion A Real-World View
16 December 2013
»
Understanding trade-offs with Brewer’s CAP theorem
9 December 2013
»
Analytics vs. Predictive Analytics
9 December 2013
»
Streams design patterns
9 December 2013
»
The evolution of analytics
21 August 2013
»
Impedance Mismatch
21 August 2013
»
The Value of Relational Databases
12 July 2013
»
What is NoSQL?
9 June 2013
»
NoSQL History
computer graphics
13 August 2023
»
NVIDIA Keynote at SIGGRAPH 2023
15 May 2019
»
Hybrid Grains
1 July 2018
»
Beautiful Layered Materials, Instantly
17 April 2018
»
Gaussian Material Synthesis
25 May 2017
»
Self-Illuminating Explosions
8 May 2017
»
An Efficient Scattering Material Representation
7 May 2017
»
Leveraging Activation Sparsity for Training Deep Neural Networks
5 May 2017
»
Deep Photo Style Transfer
1 May 2017
»
AI Creates 3D Models From Faces
25 April 2017
»
A modular GPU raytracer using OpenCL for non-interactive graphics
24 April 2017
»
Semantic Scene Completion from a Single Depth Image
12 April 2017
»
Real-Time Oil Painting on Mobile Hardware
4 April 2017
»
Geometric Detail Transfer
19 March 2017
»
Space-Time Video Completion
6 March 2017
»
AI Makes Stunning Photos From Your Drawings
1 March 2017
»
Real-time Fiber-level Cloth Rendering
26 February 2017
»
Shape and Material from Video
23 February 2017
»
Learning to Fill Holes in Images
22 February 2017
»
Calendar of Computer Graphics Events
19 February 2017
»
AI Builds 3D Models From Images With a Twist
14 February 2017
»
How Do Hollywood Movies Render Smoke?
9 February 2017
»
Fast Photorealistic Fur and Hair With Cone Tracing
30 January 2017
»
Enhance Super Resolution From Google
27 January 2017
»
Large-Scale Fluid Simulations On Your Graphics Card
26 January 2017
»
AI Makes 3D Models From Photos
24 January 2017
»
Text Style Transfer
12 January 2017
»
Amazing Slow Motion Videos With Optical Flow
9 January 2017
»
Neural Network Learns The Physics of Fluids and Smoke
4 January 2017
»
Stunning Video Game Graphics With Voxel Cone Tracing
3 January 2017
»
Papers that have used pbrt
2 January 2017
»
Mathematical Methods for Robotics, Vision, and Graphics
1 January 2017
»
Image Synthesis From Text With Deep Learning
30 December 2016
»
PBRT Installation on macOS
29 December 2016
»
Water Wave Simulation with Dispersion Kernels
18 December 2016
»
Crumpling Sound Synthesis
13 December 2016
»
Introduction to "Physically Based Shading in Theory and Practice"
12 December 2016
»
Multiphase Fluid Simulations
5 December 2016
»
Sound Propagation With Bidirectional Path Tracing
30 November 2016
»
3D Printing Acoustic Filters
11 November 2016
»
SIGGRAPH 2016 Papers on the Web
30 May 2016
»
Modeling Colliding and Merging Fluids
28 May 2016
»
Surface-Only Liquids
23 May 2016
»
Artistic Style Transfer For Videos
22 May 2016
»
SIGGRAPH 2016 – Technical Papers Trailer
16 May 2016
»
Separable Subsurface Scattering
12 May 2016
»
Real-Time Shading With Area Light Sources
5 May 2016
»
Face2Face; Real-Time Facial Reenactment
5 May 2016
»
Embree; High Performance Ray Tracing Kernels
29 April 2016
»
Narrow Band Liquid Simulations
21 March 2016
»
Photos @ EDBT 2016
21 March 2016
»
3D Depth From a Single Photograph
11 March 2016
»
Research Papers in Computer Graphics
9 March 2016
»
Readings in Physically Based Rendering
6 March 2016
»
Metropolis Light Transport
17 February 2016
»
Data Visualization
10 December 2015
»
Building LuxRender on OS X
9 December 2015
»
Calendar of Computer Graphics Events
21 May 2015
»
SIGGRAPH 2015 papers on the web
19 May 2015
»
SIGGRAPH 2015 - Technical Papers Trailer
23 April 2015
»
39 Data Visualization Tools for Big Data
3 August 2014
»
Keep Your Crises Small
3 August 2014
»
Creativity, Inc. Interview
2 August 2014
»
SIGGRAPH 2014 Technical Papers
6 July 2014
»
SIGGRAPH 2014 Papers
5 June 2014
»
Physically Based Shading in Theory and Practice
4 June 2014
»
The Forgotten History Of CGI
24 March 2014
»
Steve Jobs at SIGGRAPH 1995
22 March 2014
»
Visualization for Data-Intensive Science
17 February 2014
»
A Material Point Method For Snow Simulation
16 February 2014
»
Reflections on Image-Based Modeling and Rendering
25 June 2013
»
Korean Computer Graphics Conference 2013
computer networks
12 January 2016
»
SDN and Big Data
20 December 2015
»
Central Office Re-architected as a Datacenter (CORD)
22 October 2015
»
Basic ONOS Tutorial
16 July 2015
»
Potential Novel Applications of Open SDN
16 July 2015
»
Hybrid Unified Communications and Collaboration
12 July 2015
»
SDN Note
10 July 2015
»
RAMCloud Overview
9 July 2015
»
RAMCloud
9 July 2015
»
Open Network Operating System
2 July 2015
»
Understanding the Differences between SDN and Server Virtualization
24 June 2015
»
Open Daylight Technical Overview
17 February 2015
»
An Introduction To Software Defined Networking
5 January 2015
»
SDN과 NFV와 네트워크 가상화의 차이점 이해하기
15 June 2014
»
How to prepare for SDN
10 June 2014
»
Software-Defined Networks
10 June 2014
»
Future of the Network Documentary
data curation
24 March 2016
»
Knowledge Curation and Knowledge Fusion
18 March 2016
»
Self-Curating Databases
2 December 2015
»
Machine Driven, Human Guided Data Curation for Decision Advantage and Action
22 November 2015
»
Machine Learning as the Key to Personalized Curation
21 September 2015
»
Text Mining and Knowledge Graphs in the Cloud
20 September 2015
»
Knowledge Graph and Cognitive Computing
17 September 2015
»
Knowledge Graph
11 August 2015
»
Data Curation as Publishing for the Digital Humanities
2 August 2015
»
Does ethical content curation exist? A data-driven answer
1 August 2015
»
Stonebraker points to data curation as next integration step
31 July 2015
»
Three Approaches to Scalable Data Curation
29 July 2015
»
The Landscape of Big Data, Curation
28 July 2015
»
Data Curation
data management
11 November 2023
»
Awesome Vector Database
12 May 2021
»
How to Write a Great Research Paper
11 May 2021
»
Vision Transformer - Keras Code Examples
10 May 2021
»
Vision Transformer
9 May 2021
»
MLP-Mixer; An all-MLP Architecture for Vision
8 May 2021
»
From AlphaGo to MuZero
7 May 2021
»
Moral Machines; How culture changes values?
6 May 2021
»
Generative Adversarial Networks
5 May 2021
»
Hardness of Approximation Between P and NP
4 May 2021
»
GPT-3 = Generation Pre-trained Transformer 3
3 May 2021
»
Graph Attention Networks Implementation
2 May 2021
»
Introduction to Pytorch Geometric
1 May 2021
»
Deep Learning for Graphs
30 April 2021
»
Geometric Deep Learning
29 April 2021
»
Graph Neural Networks - Models and Applications
22 April 2021
»
Matching of Matching Graphs
21 April 2021
»
Graph Classification using Structural Attention
20 April 2021
»
Approximate Personalized PageRank on Dynamic Graphs
19 April 2021
»
GCNs for Web-Scale Recommender Systems
18 April 2021
»
Inductive Representation Learning on Large Graphs
17 April 2021
»
Write Research Paper Outline
16 April 2021
»
How to Respond to Reviewer Comments
15 April 2021
»
Limitations of Graph Neural Networks
14 April 2021
»
Choice of Graph Representation
13 April 2021
»
Inductive Representation Learning on Temporal Graphs
12 April 2021
»
Applications of Graph ML
11 April 2021
»
Machine Learning with Graphs
10 April 2021
»
How to Review a Research Paper
9 April 2021
»
Approximate standing queries on Stream Processing
8 April 2021
»
Learning Mesh-Based Simulation with Graph Networks
7 April 2021
»
Temporal Graph Networks for Deep Learning on Dynamic Graphs
6 April 2021
»
Graph Neural Networks and Knowledge Graph Completion
5 April 2021
»
Parallel and Distributed Computing in Python with Dask
4 April 2021
»
Reducing Communication in Graph Neural Network Training
3 April 2021
»
Mathematical Foundations of the GraphBLAS and Big Data
2 April 2021
»
Graph Signal Processing - Accounting for Geometry in Data
1 April 2021
»
Graph Signal Processing for Machine Learning Applications
28 March 2021
»
Papers on Recommendation Systems
27 March 2021
»
Representational Power of Graph Neural Networks
26 March 2021
»
Tunable Stream Graph Embeddings at Scale
25 March 2021
»
Graph Neural Networks
24 March 2021
»
Graph Convolutional Networks using only NumPy
23 March 2021
»
Temporal Graph Networks for Dynamic Graphs
22 March 2021
»
Graph Algorithms as Matrix Vector Products
21 March 2021
»
Distributed Machine Learning with Python
13 March 2021
»
Deep Networks Are Kernel Machines
8 March 2021
»
How the Quest for the Ultimate Learning Machine Will Remake Our World
1 March 2021
»
Fast Distributed Algorithms for Girth, Cycles and Small Subgraphs
28 February 2021
»
Graph Sketching, Streaming, and Sampling
22 February 2021
»
Theoretical Foundations of Graph Neural Networks
27 January 2021
»
Efficiently Answering Span Reachability Queries
26 January 2021
»
Probabilistic Reachability for MDPs
22 January 2021
»
How computer science can help fight COVID-19
12 January 2021
»
Enable Digital Transformation with Big Spatial Data & Analytics
11 January 2021
»
Online Approximation Techniques for Spatial Data
3 January 2021
»
Sparse Matrices Beyond Solvers
11 December 2020
»
New Machine Learning Tool Tracks Urban Traffic Congestion
13 November 2020
»
Graph Convolutional Neural Networks for Molecule Generation
12 November 2020
»
Deep Learning on Graphs
11 November 2020
»
Principles and Applications of Relational Inductive Biases
10 November 2020
»
Traffic Prediction with Advanced Graph Neural Networks
9 November 2020
»
Papers on Graph Neural Networks
5 November 2020
»
Self-Driving Databases
31 October 2020
»
Non-Volatile Memory for Database Management Systems
21 February 2018
»
Using Apache Arrow, Calcite and Parquet to build a Relational Cache
20 February 2018
»
Data Vocalization
25 March 2017
»
Cloud of Things Overview
22 March 2017
»
Blockchain Explained
21 February 2017
»
Proceedings of the VLDB Endowment
16 February 2017
»
Data Preparation for Machine Learning
15 February 2017
»
How to Prepare Data For Machine Learning
14 February 2017
»
IoT, Azure, Machine Learning and more
13 February 2017
»
IBM Watson IoT Platform
12 February 2017
»
Revisiting Reuse in Main Memory Database Systems
11 February 2017
»
What's New with NewSQL?
10 February 2017
»
Spark-GPU; An Accelerated In-Memory Data Processing Engine on Clusters
2 February 2017
»
GPU SQL Query Accelerator
1 February 2017
»
Multi-core Parallelism in a Column-store
5 January 2017
»
Self-Driving Database Management Systems
6 December 2016
»
Graph Mining for Log Data
1 December 2016
»
Understanding Multitenancy and the Architecture of the Salesforce Platform
29 November 2016
»
Probabilistic Ranking Problem
21 November 2016
»
Data Blocks; Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation
8 November 2016
»
PVLDB Papers
7 November 2016
»
Progressive skyline computation in database systems
3 November 2016
»
Proceedings of the VLDB Endowment, Volume 10
15 June 2016
»
Vectorized Executor
4 June 2016
»
Skyline Operator
27 May 2016
»
Top 10 Strategic Technology Trends 2016
20 May 2016
»
Faster In Memory Computing with No Deadlocks
13 May 2016
»
The Emergence of Converged Data Platforms and the Role of In Memory Computing
12 May 2016
»
Parallel Data Processing
11 May 2016
»
Apache Ignite In-Memory Data Fabric
10 May 2016
»
Smart Data Discovery
24 April 2016
»
Introduction to LLVM
21 April 2016
»
Min-cost Flow Network Algorithms
20 April 2016
»
Elasticity with YARN
15 April 2016
»
Breakthrough Processor and System Design with SPARC M7
12 April 2016
»
Life Beyond Column-Stores - Exploiting intra-cycle parallelism
24 March 2016
»
Knowledge Curation and Knowledge Fusion
23 March 2016
»
OLTPBench
22 March 2016
»
CrowdSky; Skyline Computation with Crowdsourcing
20 March 2016
»
Automatic Source Transformation from C++ to CUDA using Clang/LLVM
19 March 2016
»
Efficient Computation of Containment and Complementarity in RDF Data Cubess
19 March 2016
»
Data Processing in Modern Hardware
18 March 2016
»
Self-Curating Databases
17 March 2016
»
Verification of Evolving Graph-structured Data under Expressive Path Constraints
16 March 2016
»
Top-k Indexes Made Small and Sweet
15 March 2016
»
Dynamic Graph Queries
14 March 2016
»
Worst-Case Optimal Algorithms for Parallel Query Processing
13 March 2016
»
Declarative Probabilistic Programming with Datalog
12 March 2016
»
Lightning Fast Social Media Analytics
10 March 2016
»
Statistics-Driven OLAP Acceleration using Query Column Sets
7 March 2016
»
Concurrency Control and Recovery for Search Trees
5 March 2016
»
How DeepMind Conquered Go With Deep Learning
4 March 2016
»
자유가 없는 나라의 공부
3 March 2016
»
Skip List
2 March 2016
»
Transactional Memory in Practice
1 March 2016
»
DB2 for z/OS Best Practice; Locks and Latches
1 March 2016
»
Database Recovery - Basic Concepts
29 February 2016
»
Latches
28 February 2016
»
Apache Calcite Overview
27 February 2016
»
A Better B-Tree in Hekaton
26 February 2016
»
The Bw-Tree; A B-tree for New Hardware
25 February 2016
»
Hekaton Research
24 February 2016
»
Distributed Transactions
23 February 2016
»
ACID Isolation Level
22 February 2016
»
Notes About Memory Allocation Redesign
21 February 2016
»
Postgres Modifications
20 February 2016
»
The Databaseology Lectures
19 February 2016
»
C++ Arena Allocation Guide
18 February 2016
»
Region-based Memory Management
18 February 2016
»
PostgreSQL
16 February 2016
»
What is VoltDB?
16 February 2016
»
Release Notes - Tajo - Version 0.11.1
16 February 2016
»
Peloton Architecture
15 February 2016
»
Vagrant Tutorial
15 February 2016
»
Introduction to Vagrant
15 February 2016
»
Insert-Only Implementation Strategies
12 February 2016
»
A Hands-free Adaptive Store
10 February 2016
»
The Bw-Tree Key-Value Store
9 February 2016
»
Bitmap Indices
8 February 2016
»
IBM Cognos Analytics
6 February 2016
»
Understanding the SQL Server Columnstore Index
5 February 2016
»
Main Memory Databases
4 February 2016
»
Dictionary-based Order-preserving String Compression
4 February 2016
»
Hekaton Breaks Through
3 February 2016
»
The Merits of Data Compression
3 February 2016
»
DBMS Components
2 February 2016
»
Compensating Transaction
1 February 2016
»
In-Memory Column Store Architecture Overview
31 January 2016
»
Advantages & Disadvantages of an In-Memory Database
30 January 2016
»
Latches, Spinlocks, and Lock Free Data Structures
29 January 2016
»
Research Topics in Database Management
28 January 2016
»
Main Memory DBMS
27 January 2016
»
HYBRID WORKLOADS AND HTAP
26 January 2016
»
Peloton
25 January 2016
»
Database Systems Course
21 January 2016
»
Gartner Top 10 Tech Trends for 2016
20 January 2016
»
CES 2016 Keynote
19 January 2016
»
MVCC Overview
18 January 2016
»
SAP HANA
16 January 2016
»
HYRISE
15 January 2016
»
Main Compensation and Delta Compensation
14 January 2016
»
Aggregate Cache
13 January 2016
»
MonetDB Source compilation on OS X
15 December 2015
»
In-Memory Accelerator for Hadoop
14 December 2015
»
Main Memory and Streaming Databases
13 December 2015
»
Building Postgresql on OS X
8 December 2015
»
TPC-H
7 December 2015
»
Setting Up An Organized Folder Structure
6 December 2015
»
TPC-DS
5 December 2015
»
Proceedings of the VLDB Endowment, Volume 9
4 December 2015
»
In-Memory Data Management Course
2 December 2015
»
Machine Driven, Human Guided Data Curation for Decision Advantage and Action
1 December 2015
»
A GPU Parallelized Database Accelerator
29 November 2015
»
Databaseology Lectures
25 November 2015
»
Zeppelin Deployment
24 November 2015
»
Zeppelin Structure
24 November 2015
»
The Pushdown of Everything
19 November 2015
»
Zeppelin Installation
18 November 2015
»
MySQL Installation on Ubuntu
17 November 2015
»
PVLDB 2015 Vol. 9
16 November 2015
»
Data Engineering Course
15 November 2015
»
Apache Spark vs. MapReduce
14 November 2015
»
Korean Constitution
13 November 2015
»
Database Reading List
12 November 2015
»
Big Data, Fast Data The Need for In Memory Database Technology
11 November 2015
»
Arrary DBMS
10 November 2015
»
Arrary Databases
3 November 2015
»
Introduction to LLVM
2 November 2015
»
MySQL Installation on Mac OS X
19 October 2015
»
Sample Data
13 October 2015
»
RAMCloud Presentations
12 October 2015
»
Teaching creative computer science
5 October 2015
»
Discardable Memory and Materialized Queries
4 October 2015
»
2014 ACM A.M. Turing Lecture
13 September 2015
»
IEEE Transactions on Knowledge and Data Engineering
9 September 2015
»
Optimizing Big Data Through Curation
6 September 2015
»
Cognitive Computing
2 September 2015
»
SAP S4 HANA Technical White Board
31 August 2015
»
Using Electronic Health Records for Better Care
26 August 2015
»
6 Big Data Analytics Use Cases for Healthcare IT
24 August 2015
»
Four Use Cases for Healthcare Predictive Analytics, Big Data
22 August 2015
»
Five open source Big Data projects to watch
21 August 2015
»
Reservoir Sampling in MapReduce
20 August 2015
»
Clinical Data Repository Versus a Data Warehouse
19 August 2015
»
Top 50 Data Science Resources
18 August 2015
»
High-throughput, low-latency, and exactly-once stream processing with Apache Flink
17 August 2015
»
Hyper
16 August 2015
»
From Big Data to Fast Data
14 August 2015
»
SAP Hana In-Memory Explained In Nine Minutes
13 August 2015
»
Business unIntelligence
12 August 2015
»
The Challenges of Data Science
12 August 2015
»
How Data Science Driven Software is Eating the Connected World
11 August 2015
»
Data Curation as Publishing for the Digital Humanities
10 August 2015
»
How WellCare Accelerated Big Data Delivery to Improve Analytics
9 August 2015
»
Sharing Experiences in Cloud Adoption
8 August 2015
»
IBM Hybrid Transaction Analytic Processing HTAP
7 August 2015
»
What is Hybrid Transaction/Analytical Processing (HTAP)?
6 August 2015
»
CIOs and the Ongoing Data Persistence Struggle
6 August 2015
»
Eight Big Trends in Big Data Analytics
5 August 2015
»
Hybrid Trasansaction/Analytical Processing (HTAP)
4 August 2015
»
Hybrid Trasansactional/Analytical Processing (HTAP)
3 August 2015
»
HTAP and The Future of Data
15 July 2015
»
Mega-KV, A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores
12 July 2015
»
SDN Note
11 July 2015
»
My Top 10 Assertions about Data Warehouses
10 July 2015
»
RAMCloud Overview
9 July 2015
»
RAMCloud
8 July 2015
»
The Virginian Database
27 June 2015
»
Massive Throughput Database Queries with LLVM on GPUs
13 June 2015
»
Apache Tajo Internal
26 April 2015
»
Readings in Data Management
20 November 2014
»
Database Management Systems
19 November 2014
»
Planning the Approach
12 August 2014
»
Database Management Systems
11 August 2014
»
Readings in Database Systems
9 August 2014
»
Query Optimization Bibliography
1 August 2014
»
PostgreSQL
31 July 2014
»
Advantages and Drawbacks of Using Stored Procedures for Processing Data
13 June 2014
»
What is SQL-on-Hadoop?
12 June 2014
»
What does “100 times faster than Hive” actually mean?
12 June 2014
»
GraphX Programming Guide
11 June 2014
»
TPC Benchmark
11 June 2014
»
Hadoop 2.4.0 Installation on Mac OS X Mavericks
7 June 2014
»
Choosing distribution models
3 June 2014
»
Hadoop Sector will Have Annual Growth of 58% for 2013-2020
2 June 2014
»
Why Impala Continues to Lead?
1 June 2014
»
Apache Spark Resource Management and YARN App Models
28 May 2014
»
Measures of Query Cost
27 May 2014
»
Query Processing
26 May 2014
»
Query Transformation
25 May 2014
»
Database Conferences
24 May 2014
»
Query Optimizer
22 May 2014
»
Research Topics in Database Systems
21 May 2014
»
ACID Properties of Transactions
17 May 2014
»
Introduction to Distributed Database Management Systems
15 May 2014
»
Introduction to Data Warehousing
14 May 2014
»
Date's Twelve Rules for a DDBMS
27 March 2014
»
Depth of Knowledge
26 March 2014
»
Mapping and Folding and the Map-Reduce Paradigm
26 March 2014
»
Codd's 12 Rules
25 March 2014
»
OLAP vs. OLTP
25 March 2014
»
Comparison - Ad-hoc vs Stored Procedure vs Dynamic SQL
21 February 2014
»
FINDING INFORMATION ON THE WEB
21 February 2014
»
Advanced Metasearch Engine Technology
11 February 2014
»
Multi-tenant Database Systems
9 February 2014
»
Building a Hybrid Modern Data Architecture for Apache Hadoop
7 February 2014
»
Continuous Quries Languages
6 February 2014
»
Semantics of Relations in Continuous Queries
5 February 2014
»
Continuous Quries as Views
4 February 2014
»
Building the Health Information Infrastructure for the Modern ePatient
28 January 2014
»
Continuous Query Semantics and Operators (Part II)
27 January 2014
»
Stream Windows
27 January 2014
»
Continuous Query Semantics and Operators (Part I)
26 January 2014
»
Writing Input And Output Adapters
26 January 2014
»
Stream Models
9 January 2014
»
In-Memory Caches
9 January 2014
»
Pattern Matching Techniques
3 January 2014
»
Real-time Operational Intelligence
24 December 2013
»
Real-Time Data Stream Manager (RTDSM) Interface Specification
21 December 2013
»
Modelling in Big Data
16 December 2013
»
Understanding trade-offs with Brewer’s CAP theorem
5 September 2013
»
VLDB 2013
21 August 2013
»
Impedance Mismatch
9 June 2013
»
NoSQL History
data science
10 May 2017
»
Latent Dirichlet Allocation Concept
4 May 2017
»
Reinforcement Learning Course - Georgia Tech
4 May 2017
»
Digital Transformation in a Connected World
3 May 2017
»
What is Graph Analytics?
2 May 2017
»
Graphs in Machine Learning
30 April 2017
»
Social and Information Network Analysis
29 April 2017
»
Structural Analysis and Visualization of Networks
26 April 2016
»
Deep Learning for Database Performance Optimization
25 April 2016
»
No Such Thing As Artificial Intelligence
22 November 2015
»
Machine Learning as the Key to Personalized Curation
21 November 2015
»
22nd ACM SIGKDD Conference
20 November 2015
»
What is Zeppelin Interpreter
31 August 2015
»
Using Electronic Health Records for Better Care
26 August 2015
»
6 Big Data Analytics Use Cases for Healthcare IT
24 August 2015
»
Four Use Cases for Healthcare Predictive Analytics, Big Data
22 August 2015
»
Five open source Big Data projects to watch
21 August 2015
»
Reservoir Sampling in MapReduce
20 August 2015
»
Clinical Data Repository Versus a Data Warehouse
19 August 2015
»
Top 50 Data Science Resources
30 June 2015
»
Future of big data analytics
29 June 2015
»
Five most popular similarity measures implementation in python
2 May 2015
»
Requirements for Cluster Analysis
1 May 2015
»
What is Cluster Analysis?
30 April 2015
»
Cluster Analysis
6 June 2014
»
GPU Programming for the Data Sciences
21 May 2014
»
Statistics, Data Mining, Machine Learning and Artificial Intelligence
11 May 2014
»
Regression Analysis
19 March 2014
»
The Data Science Process
18 March 2014
»
Statistical Thinking in the Age of Big Data
18 March 2014
»
Populations and Samples
17 March 2014
»
Thought Experiment - Meta-Definition
16 March 2014
»
A Data Science Profile
15 March 2014
»
The Role of the Social Scientist in Data Science
15 March 2014
»
What is Data Science? - The Current Landscape
14 March 2014
»
What is Data Science?
27 February 2014
»
T-Shaped Data Scientists
23 February 2014
»
The Variety of Data Scientists
21 February 2014
»
Data Science, Engineering, and Data-Driven Decision Making
21 February 2014
»
Clustering Data Scientists
design patterns
6 May 2015
»
Dependency Injection
12 January 2015
»
11 Core Big Data Workload Design Patterns
1 May 2014
»
Bigtable
30 April 2014
»
Chubby
29 April 2014
»
The Google File System (GFS)
29 April 2014
»
Overview of Data Storage and Coordination Services
28 April 2014
»
Underlying Communication Paradigms
28 April 2014
»
Overall Architecture and Design Philosophy
11 January 2014
»
JUnit, A Tool for Test-Driven Development
26 December 2013
»
Concurrent Bug Patterns and How to Test Them
26 December 2013
»
Introduction to Bug Patterns in Java
14 December 2013
»
Foundational data architecture patterns
10 December 2013
»
Streams Application Design
10 December 2013
»
Filter pattern
developments
31 March 2018
»
Visual Studio Code, CMake and LLDB
30 March 2018
»
Extreme Team
29 March 2018
»
Visual Studio Code - C++ Development
21 March 2018
»
UML Tools for Python
20 March 2018
»
Introduction to gRPC
19 March 2018
»
Design Patterns in Python
10 March 2018
»
Real-Time Data Processing with Apache Flink
8 March 2018
»
Mesos Installation
8 March 2018
»
Building Mesos
7 March 2018
»
Traffic Prediction
5 March 2018
»
An Introduction to Protobufs
4 March 2018
»
Taking the I out of PaaS with Apache Mesos
3 March 2018
»
Software Projects Built on Mesos
2 March 2018
»
Distributed Deep Learning on Mesos
2 March 2018
»
Apache Mesos and GPUs
1 March 2018
»
Apache Mesos
29 January 2018
»
Pair Programming Tips
20 October 2016
»
In-core computation with HyperBall
7 July 2016
»
소프트웨어 개발의 이해를 돕기 위한 비유
18 February 2016
»
Redmine Plugin Installation
3 January 2016
»
Wearable Technology Trends in 2016
10 December 2015
»
Building LuxRender on OS X
28 November 2015
»
KIWI Installation
27 November 2015
»
IntelliJ IDEA 15
26 November 2015
»
Maven Support in IntelliJ IDEA
8 November 2015
»
CUDA LLVM Compiler
7 November 2015
»
Stanford Compilers Course
5 November 2015
»
Unit Test using specs
4 November 2015
»
Scala to Java
26 October 2015
»
Privacy as a Practice in Mobile App Development
8 July 2015
»
Function Composition
7 July 2015
»
Scala Collection
17 June 2015
»
Common Lisp using LLVM and C++ for Molecular Metaprogramming
17 June 2015
»
Big Data Challenges and Opportunities
5 June 2015
»
Rethinking SIMD Vectorization for In-Memory Databases
4 June 2015
»
Scala idiom - Prefer immutable data structures
3 June 2015
»
Scala - Tools and Frameworks
3 June 2015
»
Scala - Pattern Matching
3 June 2015
»
Scala - Functional/Collection
2 June 2015
»
Why Scala?
2 June 2015
»
Introduction to Scala
2 June 2015
»
Scala - Object Oriented Features
2 June 2015
»
Scala Installation
2 June 2015
»
Scala Basics
26 May 2015
»
SBT (Simple Build Tool)
19 April 2015
»
GNUPlot Basics
18 March 2015
»
Google Protocol Buffer Basics - Java
29 August 2014
»
How to fix “System program problem detected” error on Ubuntu
29 July 2014
»
Samsung Developer Day 2014 at MWC - Samsung MultiScreen SDK
9 April 2014
»
Using Gitlab on Mac OS X
8 April 2014
»
Gitlab Installation on Mac OS X
29 March 2014
»
Why Functional Programming?
10 March 2014
»
Macport Commands Summary
18 February 2014
»
TDD Best practices
17 February 2014
»
Test-Driven Development in a nutshell
10 February 2014
»
Introduction to the Maven
4 February 2014
»
Native C/C++ Like Performance For Java Object Serialization
3 February 2014
»
Using ByteBuffer in Java
22 January 2014
»
Esper Relational Database Adapter
21 January 2014
»
Event Rendering to XML and JSON
21 January 2014
»
Esper Socket Adapter
21 January 2014
»
Esper Adapter Concept
11 January 2014
»
Scatter plots in Python
11 January 2014
»
Generating random numbers and plots in Python
11 January 2014
»
JUnit, A Tool for Test-Driven Development
11 January 2014
»
Syntax highlighting tools for github page
11 January 2014
»
Boxplots comparing two different populations in Python
3 January 2014
»
JAXB Class Generation From XML Schema File using JAXB Tool
2 January 2014
»
Introduction to Esper for Java
27 December 2013
»
My Scoop It! Sites
26 December 2013
»
Concurrent Bug Patterns and How to Test Them
26 December 2013
»
Introduction to Bug Patterns in Java
13 December 2013
»
N-Screen Application Development Manual
12 December 2013
»
Android WebView Application using Naver Open API
22 November 2013
»
Extreme Programming
10 May 2012
»
Git Commands
10 April 2012
»
Git Concepts and Architecture
8 March 2012
»
Adding a post to github page
foundation models
31 July 2023
»
How to write Tree of Thoughts Prompts
gpgpu
10 January 2017
»
Gunrock
17 May 2016
»
Compiling CUDA C/C++ with LLVM
7 April 2016
»
gpucc; an open-source GPGPU compiler
20 March 2016
»
Automatic Source Transformation from C++ to CUDA using Clang/LLVM
29 December 2015
»
Map-D
27 December 2015
»
Rethinking the Role of CPUs in Modern Computers
26 December 2015
»
MultiQx-GPU
25 December 2015
»
Concurrent Analytical Query Processing with GPUs
1 December 2015
»
A GPU Parallelized Database Accelerator
22 September 2015
»
Fundamentals of Parallel Computing with the GPU
15 July 2015
»
Mega-KV, A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores
8 July 2015
»
The Virginian Database
27 June 2015
»
Massive Throughput Database Queries with LLVM on GPUs
23 June 2015
»
Hadoop + GPU Architecture
16 June 2015
»
MapD (Massively Parallel Database) Overview
15 June 2015
»
Data Science using GPUs
14 June 2015
»
IBM Juices Hadoop With Java On Tesla GPUs
21 April 2015
»
Setup a JavaCL Maven Project
3 September 2014
»
Some Common Parallel Patterns
9 July 2014
»
Why does MapReduce + GPU Computing?
6 June 2014
»
GPU Programming for the Data Sciences
20 May 2014
»
GTC On-Demand
5 January 2014
»
Computational Thinking
graph mining
31 July 2023
»
What's the difference between programming and coding
30 July 2023
»
Prompt Engineering Overview
24 July 2023
»
Cross-Platform Data Lineage with OpenLineage
24 July 2023
»
Continuous Training and Deployment with ZenML and Seldon
23 July 2023
»
CVPR Highlights 2023
22 July 2023
»
Robust and Trustworthy Deep Learning
21 July 2023
»
PFNs; Use neural networks for 100x faster Bayesian predictions
20 July 2023
»
Multimodal Deep Learning for Protein Engineering
19 July 2023
»
Topological Deep Learning; Going Beyond Graph Data
18 July 2023
»
Is Distance Matrix Enough for Geometric Deep Learning?
17 July 2023
»
Sign and Basis Invariant Networks for Spectral Graph Representation Learning
16 July 2023
»
Distributed and Multiagent Reinforcement Learning
15 July 2023
»
A Distributional Multi-agent Reinforcement Learning Approach
14 July 2023
»
Deploy and Scale Models with BentoML
13 July 2023
»
Tool Agnostic MLOps with ZenML
12 July 2023
»
The Four Pillars of Machine Learning
11 July 2023
»
When to use Kubernetes natively over Kubeflow for ML
10 July 2023
»
Deploy ZenML + Kubeflow + MLflow + Minio
9 July 2023
»
MLOps Pipeline Tutorial with ZenML and Kubeflow
8 July 2023
»
ML models with ZenML and BentoML
7 July 2023
»
Recent Advances in Vision Foundation Models
6 July 2023
»
CVPR 2023 Tutorials
5 July 2023
»
Model Registry and Deployment with MLflow
4 July 2023
»
How to Deploy ML Models in Production with BentoML
3 July 2023
»
Data Science–A Systematic Treatment
2 July 2023
»
LEARN ENGLISH with STEVE JOBS
1 July 2023
»
DuckDB Internals
30 June 2023
»
How to Master the Art of Leadership
29 June 2023
»
Getting Started with ZenML
28 June 2023
»
Generative Models for Language and Vision
27 June 2023
»
ChatGPT, LLMs & Generative AI; What Your Business Needs to Know
26 June 2023
»
Differential Privacy & Variants
21 June 2023
»
Towards Learned Database Systems
20 June 2023
»
Deep Lake; a Lakehouse for Deep Learning
19 June 2023
»
Towards Natural Language Query Answering
2 June 2023
»
Do We Still Need People To Write Database Systems?
1 June 2023
»
Generative AI and Databases
31 May 2023
»
Contrastive Learning in PyTorch
30 May 2023
»
Self-Supervised Learning; Self-Prediction and Contrastive Learning
24 May 2023
»
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks
17 May 2023
»
Bayesian Neural Network
10 May 2023
»
Study Less Study Smart
9 May 2023
»
Kubeflow v1.7 Release Overview
27 April 2023
»
Amazon Redshift Internals
26 April 2023
»
ChatGPT Course – Use The OpenAI API to Code 5 Projects
24 April 2023
»
Installing and Using NVIDIA Docker
18 April 2023
»
Hypertree Decompositions
17 April 2023
»
What is Platform Engineering?
13 April 2023
»
Databricks Spark SQL / Photon
12 April 2023
»
Google BigQuery / Dremel
10 April 2023
»
Personalized Image Generation
9 April 2023
»
Kubeflow Pipelines 2.0
8 April 2023
»
Learning to Transfer Knowledge Through Embedding Spaces
7 April 2023
»
Traffic Prediction with Transfer Learning
7 April 2023
»
First-Passage Percolation and Related Models
6 April 2023
»
Sparse Fourier Transform Algorithm for Real-Time Applications
2 April 2023
»
The Frontier of Deep Learning for Robotics
26 March 2023
»
Microsoft's Products Will Soon Access Open AI Tools Like ChatGPT
25 March 2023
»
LLaMA & Alpaca; "ChatGPT" On Your Local Computer
23 March 2023
»
Multi-Objective Recommender Systems
27 February 2023
»
Hands-on Explainable Recommender Systems with Knowledge Graphs
26 February 2023
»
Improving Recommender Systems with Human in the Loop
12 February 2023
»
Open-Source Systems for Federated Learning
11 February 2023
»
An Introduction to Federated Computation
10 February 2023
»
Data Governance and Sharing on Lakehouse
9 February 2023
»
Data Mesh and Lakehouse
8 February 2023
»
Master Data Management
7 February 2023
»
Setting up Big Data Fabric
6 February 2023
»
On Future of the Modern Data Stack
1 February 2023
»
Data Virtualization in Data Fabric
31 January 2023
»
Recommender Systems using Graph Neural Networks
26 January 2023
»
Activate Your Modern MetaData Stack
24 January 2023
»
Databricks Lakehouse makes payments ingestion and analytics simple
18 January 2023
»
The Essential Guide to Data Lineage
17 January 2023
»
Data Governance Explained in 5 Minutes
16 January 2023
»
Automated Data Lineage with Unity Catalog
9 January 2023
»
Active Metadata - Understanding the magic behind the Data Fabric
8 January 2023
»
Introduction to Data Mesh
7 January 2023
»
PostgreSQL vs MySQL
6 January 2023
»
Activate Your Metadata to Empower Innovation
6 January 2023
»
Accelerating Hybrid Data Mesh Implementation
5 January 2023
»
Deep-Dive into Delta Lake
4 January 2023
»
Delta Lake 2.0 Overview
3 January 2023
»
Advancing Spark - The Photon Whitepaper
2 January 2023
»
Column-Level Lineage and Active Metadata
1 January 2023
»
Five Things to Consider About Data Mesh and Data Governance
30 December 2022
»
Data Mesh Implementation Patterns
29 December 2022
»
Intro to Databricks Lakehouse Platform Architecture and Security
28 December 2022
»
Meshing About with Databricks
27 December 2022
»
Enterprise Data Fabric
26 December 2022
»
Converging Advances to Accelerate Molecular Simulation
26 December 2022
»
Learning Delaunay Surface Elements for Mesh Reconstruction
26 December 2022
»
Data Fabric for Self-Driving Cars
23 December 2022
»
Knowledge Graphs Seminar
19 December 2022
»
Data Cataloging with Knowledge Graphs
14 December 2022
»
The Foundation of a Data Fabric
13 December 2022
»
Data Mesh, Data Fabric, Data Lakehouse
12 December 2022
»
Tractable Probabilistic Circuits
6 December 2022
»
Distributed Analytical Database Systems
5 December 2022
»
GraphZeppelin - Streaming Graph Connectivity at Scale
1 December 2022
»
Understanding Graph Data Representations in Triplestores
30 November 2022
»
Graph-Powered Data Exploration
29 November 2022
»
Google BigQuery
28 November 2022
»
Conformal Prediction Tutorial
21 November 2022
»
Traffic Prediction Paper Collection
15 November 2022
»
End-to-end Optimization of Machine Learning Prediction Queries
14 November 2022
»
Compute Complex Temporal Join Queries Efficiently
8 November 2022
»
Making Learned Query Optimization Practical
7 November 2022
»
Universal Database Optimizer
6 November 2022
»
Machine Learning for Query Optimization
5 November 2022
»
ML Explainability
4 November 2022
»
Towards Generalizable Autonomy
4 November 2022
»
Building an AI and ML ready Modern Data Platform
4 November 2022
»
Diffusion Probabilistic Modelling of Protein Backbones in 3D
3 November 2022
»
ICCV Authors Guidelines
2 November 2022
»
Diffusion Probabilistic Models
1 November 2022
»
Stable Diffusion - What, Why, How?
31 October 2022
»
Deep Energy-Based Learning
30 October 2022
»
Incident Prediction in Spatio-Temporal Road Graph Networks
19 October 2022
»
Diffusion probabilistic modelling of protein backbones in 3D
18 October 2022
»
Contrastive Learning in PyTorch
17 October 2022
»
Neural Rendering
10 October 2022
»
Anatomy of a Research Paper
6 October 2022
»
Geometric Deep Learning for Drug Discovery
4 October 2022
»
Deploy Custom Python Model Server
3 October 2022
»
Contrastive Learning in PyTorch
2 October 2022
»
InferenceService using a Custom Torchserve Image
28 September 2022
»
From Machine Learning to Autonomous Intelligence
27 September 2022
»
Towards a Learned Index Structure for ANN Search
15 September 2022
»
Graph Processing; from Academic Research to Industrial Application
14 September 2022
»
Katana Graph; A Graph Intelligence Platform
6 September 2022
»
Machine Learning for Scientific Discovery
2 September 2022
»
Graph Neural Networks as Gradient Flows
4 August 2022
»
Ab-Initio Potential Energy Surfaces
1 August 2022
»
Reinforcement Learning via Sequence Modeling
30 July 2022
»
Recipe for a General, Powerful, Scalable Graph Transformer
29 July 2022
»
Spatial Hash Grids & Tales from Game Development
28 July 2022
»
Cardinality Estimation Benchmark
27 July 2022
»
Spatial Indexing in PostGIS
27 July 2022
»
Data-driven Learned Metric Index; an Unsupervised Approach
26 July 2022
»
Synopses - Samples, Histogram, Wavelets and Sketches
25 July 2022
»
Query Execution in MonetDB
24 July 2022
»
Low overhead self-optimizing storage for compression
23 July 2022
»
A Database Tuning Tool that "Reads the Manual"
22 July 2022
»
Rethinking Graph Transformers with Spectral Attention
21 July 2022
»
Introduction to TorchServe
21 July 2022
»
MicroK8s Installation & Simple Commands
20 July 2022
»
Diffusion Models from Scratch in PyTorch
19 July 2022
»
Deep Learning Theory Lectures
18 July 2022
»
Kubeflow Fairing
18 July 2022
»
Kubeflow Fairing, Pipelines, and Training
17 July 2022
»
On Recoverability of Graph Neural Network Representation
16 July 2022
»
Deploy Model to KServe
15 July 2022
»
TorchScript and PyTorch JIT
14 July 2022
»
Spectra of Graphs and Hypergraphs
14 July 2022
»
How to Serve PyTorch Models with TorchServe
13 July 2022
»
A Novel Data Set for Information Retrieval on the Basis of Subgraph Matching
13 July 2022
»
Graph Embedding in Vector Spaces Using Matching-Graphs
12 July 2022
»
Google Cloud BigQuery ML Using SQL
11 July 2022
»
Open World Lifelong Learning
10 July 2022
»
On Machines that can Learn Continually
9 July 2022
»
Introduction to Continual Learning
8 July 2022
»
Introducing OpenAPI Generator
7 July 2022
»
Kubeflow Development Environment
6 July 2022
»
KFServing Deep Dive
5 July 2022
»
Protein structure prediction with AlphaFold
4 July 2022
»
Deep Learning for Scientific Computation
3 July 2022
»
Started with AI in Drug Discovery
2 July 2022
»
Istio Simplified
1 July 2022
»
Knative and Microk8s with Multipass
30 June 2022
»
KServe in Kubenetes
29 June 2022
»
Graph Ordering Attention Networks
28 June 2022
»
Introduction to KServe
27 June 2022
»
Position-Aware Graph Neural Network using Reachability Estimations
26 June 2022
»
Isomorphism Using Adjacency Matrix
25 June 2022
»
Efficient Probabilistic Truss Indexing on Uncertain Graphs
24 June 2022
»
Toward Verified Artificial Intelligence
23 June 2022
»
Modern Data Stack
22 June 2022
»
PyTorchJobClient
22 June 2022
»
KServe (Kubeflow KFServing) Live Coding Session
21 June 2022
»
Workflow for ML Projects — MLOps
20 June 2022
»
Kubeflow Setup
19 June 2022
»
Introduction to Data Mesh
18 June 2022
»
Theory of Graph Neural Networks
17 June 2022
»
Representational Power of Graph Nerual Networks
16 June 2022
»
Task structure and generalization in graph neural networks
15 June 2022
»
Geometry Processing with Neural Fields
14 June 2022
»
Trends in AI
14 June 2022
»
RelationalAI Knowledge Graph Management System
13 June 2022
»
Topological Graph Neural Networks
12 June 2022
»
Causality and (Graph) Neural Networks
11 June 2022
»
Using Graph Neural Networks for Multi-Node Representation Learning
10 June 2022
»
Epistemic Uncertainty Estimation for Efficient Search of Drug Candidates
9 June 2022
»
Toward Neuro Causality
9 June 2022
»
Connect to MySQL Database from Visual Studio Code
8 June 2022
»
Data-Efficient Graph Grammar Learning for Molecular Generation
8 June 2022
»
Rethinking Graph Transformers with Spectral Attention
8 June 2022
»
How GNNs and Symmetries can help to solve PDEs
7 June 2022
»
Neural diffusion PDEs, differential geometry, and graph neural networks
7 June 2022
»
BigQuery ML; Machine Learning with Standard SQL
6 June 2022
»
GNN with Learnable Structural and Positional Presentations
5 June 2022
»
Istio Service Mesh 101
5 June 2022
»
Graph Neural Networks and Diffusion PDEs
4 June 2022
»
Recommender Systems using Graph Neural Networks
4 June 2022
»
Manage Multi-tenant ML Workloads Using Istio
4 June 2022
»
Graph Neural Networks as Neural Diffusion PDEs
3 June 2022
»
Exploring ML Model Serving with KServe
3 June 2022
»
Kubeflow Tutorial | Model Serving
3 June 2022
»
Using AI to accelerate scientific discovery
2 June 2022
»
Java to MySQL using Visual Studio Code
1 June 2022
»
Developing the Kubernetes Python Client
31 May 2022
»
Kubernetes Patterns
30 May 2022
»
Using Visual Studio Code for Java Maven Project
29 May 2022
»
Mapping External Services
28 May 2022
»
MiniKF; Kubeflow on your laptop
28 May 2022
»
Gateway Routing Pattern
27 May 2022
»
Kubeflow v1.5 Release Overview
26 May 2022
»
TensorFlow Distributed Training on Kubeflow
25 May 2022
»
Sidecar Pattern
24 May 2022
»
YAML
23 May 2022
»
Kubeflow on macOS
23 May 2022
»
Why is Kubernetes called K8s?
22 May 2022
»
Kubernetes Crash Course for Absolute Beginners
21 May 2022
»
Marrying Top k with Skyline Queries
20 May 2022
»
Spatial Skyline Queries on Triangulated Irregular Networks
19 May 2022
»
Challenges and Solutions of Using Kubernetes for Blockchain Applications
18 May 2022
»
PyTorch Training (PyTorchJob)
18 May 2022
»
Kubeflow Architecture
18 May 2022
»
Istio and Service Mesh
17 May 2022
»
Kubernetes Tutorial for Beginners
17 May 2022
»
Serving Machine Learning Models at Scale Using KServe
17 May 2022
»
Advanced Model Inferencing Leveraging Kubeflow Serving
16 May 2022
»
PyTorch via SQL Commands
15 May 2022
»
Scaling Shortest Path Graph Queries on Very Large Networks
14 May 2022
»
Hierarchical Core Maintenance on Large Dynamic Graphs
13 May 2022
»
Shortest Paths and Centrality in Uncertain Networks
12 May 2022
»
Bag of Tricks for Node Classification with Graph Neural Networks
11 May 2022
»
The Case for Learned Index Structures
10 May 2022
»
Deep Learning for Graph Similarity Search
9 May 2022
»
HyperSPNs; Compact and Expressive Probabilistic Circuits
8 May 2022
»
Learned Index Structures for Dynamic and Multi-Dimensional Data
7 May 2022
»
Blame the Data, Not the System
6 May 2022
»
Hyperbolic Embeddings in Machine Learning and Deep Learning
5 May 2022
»
What are Temporal Databases?
4 May 2022
»
Git Commit Message Style Guide
3 May 2022
»
What is PrestoDB?
2 May 2022
»
Spatial, High Dimensional, Temporal Data Indexing and Querying
1 May 2022
»
A Learned Spatial Index for Range and kNN Queries
30 April 2022
»
An Introduction to Spatial Data and its Applications
29 April 2022
»
Robustness/Interpretability in Vision & Language Models
28 April 2022
»
Visual Data Analysis; How? When? Why?
27 April 2022
»
SageDB; A Self-Assembling Database System
26 April 2022
»
Towards Zero-Shot Learning for Databases
25 April 2022
»
From Workload-Driven to Zero-Shot Learning
24 April 2022
»
From Notebook to Kubeflow Pipelines to KFServing
23 April 2022
»
Improving Transfer and Robustness of Supervised Contrastive Learning
22 April 2022
»
Approximate Query Processing
21 April 2022
»
What are Probabilistic Data Structures?
20 April 2022
»
Approximation Algorithms for Large Scale Data Analysis
19 April 2022
»
Modeling Relational Data with Graph Convolution Network
18 April 2022
»
Open-source Change Data Capture With Debezium
18 April 2022
»
Finding Approximately Repeated Patterns in Time Series
17 April 2022
»
Looper; An End-to-End ML Platform for Product Decisions
16 April 2022
»
Learned Indexing and Sampling for Improving Query Performance
15 April 2022
»
Principles of Good Machine Learning Systems Design
14 April 2022
»
Deep Learning Design Patterns
13 April 2022
»
Tips for Thinking Like a Machine Learning Architect
12 April 2022
»
Machine Learning Design Patterns
11 April 2022
»
Introduction to Kubeflow
10 April 2022
»
Martingale Theory
9 April 2022
»
Making Architecture Matter
8 April 2022
»
Bayesian Inference for Big Data
7 April 2022
»
Architecture and Cardinality Estimations for Graph Queries
6 April 2022
»
What causes congestion?
5 April 2022
»
Optimization problems in graphs with locational uncertainty
4 April 2022
»
Deep Implicit Layers
3 April 2022
»
Convex Functions
2 April 2022
»
Quantum Deep Learning
1 April 2022
»
Uncertainty and Out-of-Distribution Robustness in Deep Learning
31 March 2022
»
Probabilistic Methods for Increased Robustness in Machine Learning
30 March 2022
»
Probabilistic Circuits - Representations, Inference, Learning and Theory
29 March 2022
»
FLAT-Fast, Lightweight and Accurate Method for Cardinality Estimation
28 March 2022
»
Learned Query Scheduling
23 March 2022
»
A 10 Minute Introduction to Kubeflow
22 March 2022
»
Ethics of Artificial Intelligence
21 March 2022
»
What is AI Ethics?
20 March 2022
»
What is the Cardinality Estimator?
18 March 2022
»
Qd-tree - Learning Data Layouts for Big Data Analytics
17 March 2022
»
Sum-Product Networks
16 March 2022
»
Towards Zero-Shot Learning for Databases
15 March 2022
»
Machine Learning Design Patterns
14 March 2022
»
Learned DBMS Components 2.0
13 March 2022
»
Deep Multi-task and Meta Learning
12 March 2022
»
Machine Learning Design Patterns - Rebalancing
11 March 2022
»
Calcite Tutorial
10 March 2022
»
NeuroCard - One Cardinality Estimator for All Tables
12 January 2022
»
GNN based Recommender Systems
6 January 2022
»
On the Nature of Data Science
5 January 2022
»
Breaking the Limit of Graph Neural Networks using Local Mixing Patterns
4 January 2022
»
Performance Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks
1 January 2022
»
Data Fabrics for Enterprise Data Management?
31 December 2021
»
Query Optimization and Acceleration at Dremio
30 December 2021
»
AI4DB & DB4AI-Papers
29 December 2021
»
Permissioned Blockchains
28 December 2021
»
Apache Spark, Data Science + Machine Learning
27 December 2021
»
Introduction to Temporal Graph Neural Networks
26 December 2021
»
Traffic Forecasting with Pytorch Geometric Temporal
9 December 2021
»
Geometric Deep Learning
8 December 2021
»
What Is NFT? - Non Fungible Token
5 December 2021
»
Deep Recommender Systems
4 December 2021
»
Weisfeiler and Lehman Go Cellular; CW Networks
3 December 2021
»
Matrix Multiplication, and the Asymptotic Spectrum Of Tensors
2 December 2021
»
Traffic Prediction for Intelligent Transport System
23 November 2021
»
Revisiting Knowledge Graph Completion From a Practical Perspective
22 November 2021
»
Applying Machine Learning-based Database Tuning in Production
21 November 2021
»
Cloud-Native Ledger Graph Database
17 November 2021
»
A Probabilistic Model for Joint Inference from Differential Equations
7 November 2021
»
Optimization Frameworks for Graph Clustering
2 November 2021
»
Neuralising a Computer Scientist
14 October 2021
»
Preparing For Your Dissertation Defense
13 October 2021
»
Oral Dissertation Defense Preparation
12 October 2021
»
How To Defend Your Thesis? Top 10 Tips For Success
11 October 2021
»
How to Get a PhD in Computer Science
10 October 2021
»
100 Thesis Defense Questions in 3 Categories
9 October 2021
»
10 Mistakes to Avoid When Defending Your Thesis
8 October 2021
»
How to prepare for your PhD thesis defence
7 October 2021
»
Geometric Deep Learning-Past, Present, And Future Optimization
6 October 2021
»
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
5 October 2021
»
How to write a literature review - my simple 5 step process!
4 October 2021
»
Geometric Deep Learning - from Euclid to drug design
3 October 2021
»
Graph Isomorphism in Quasipolynomial Time
2 October 2021
»
Geometric Deep Learning Blueprint
1 October 2021
»
Geometric Deep Learning-The Erlangen Programme of ML
30 September 2021
»
KDD Cup OGB Large-Scale Challenge
29 September 2021
»
Theoretical Foundations of Data-Driven Algorithm Design
28 September 2021
»
Relational Inductive Biases, Deep Learning, and Graph Networks
27 September 2021
»
The Future Is Big Graphs
26 September 2021
»
The Universal Approximation Theorem
25 September 2021
»
Equivariant Networks and Natural Graph Networks
24 September 2021
»
An Introduction to Hamiltonian Monte Carlo Method for Sampling
23 September 2021
»
Recurrent Neural Networks for Cognitive Neuroscience
22 September 2021
»
Permutation Equivariance of Graph Filters
21 September 2021
»
Graph Convolutional and Isomorphism Networks
20 September 2021
»
Combinatorial Properties of the Weisfeiler-Leman Algorithm
19 September 2021
»
Advances in Self-Supervised Learning
18 September 2021
»
Contrastive Loss, Deep Metric Learning
17 September 2021
»
Self-Supervised Learning
16 September 2021
»
Contrastive Learning; A General Self-supervised Learning Approach
15 September 2021
»
Supervised Contrastive Learning
14 September 2021
»
What is Noise-Contrastive Estimation?
13 September 2021
»
GNNs with Learnable Structural and Positional Representation
12 September 2021
»
Knowledge Graph Representation
11 September 2021
»
Temporal Graph Networks (TGN)
10 September 2021
»
Building a Recommender System using Graph Neural Networks
9 September 2021
»
Junction Tree Variational Autoencoder for Molecular Graph Generation
8 September 2021
»
Understanding Graph Attention Networks
7 September 2021
»
GVAE Training and Adjacency Reconstruction
6 September 2021
»
Graph Representation Learning for Drug Discovery
5 September 2021
»
Graph Neural Networks for Traffic Prediction
4 September 2021
»
Visual Exploration of Trajectory Data
3 September 2021
»
GPS Data Analysis with Python
2 September 2021
»
22 Python libraries for Geospatial Data Analysis
1 September 2021
»
Clustering Trajectories
31 August 2021
»
Towards Causal Representation Learning
30 August 2021
»
Random Sum Product Networks
29 August 2021
»
Understanding & Generating Source Code with Graph Neural Networks
28 August 2021
»
Sum-Product Networks; The Next Generation of Deep Models
27 August 2021
»
Deep Learning to Discover Coordinates for Dynamics
26 August 2021
»
The Power of Graph Signal Processing
25 August 2021
»
Some Mathematical Problems in Graph Signal Processing
24 August 2021
»
On Laplacian Eigenmaps for Dimensionality Reduction
23 August 2021
»
Overview of Graph Embeddings
22 August 2021
»
Sum-Product Networks; Powerful Models with Tractable Inference
21 August 2021
»
Sum-Product Networks
20 August 2021
»
Geometric Deep Learning and Reinforcement Learning
19 August 2021
»
Discovering Genetic Medicines with our AI Drug Discovery Platform
18 August 2021
»
Proof of Euler's Formula
17 August 2021
»
GNNs and RL in Traffic Optimization in Cities
16 August 2021
»
Graph Neural Networks and Applications to Deep Reinforcement Learning
15 August 2021
»
Writing Scientific Papers
14 August 2021
»
Drug Discovery with GANs
13 August 2021
»
PyTorch nn.Embedding()
12 August 2021
»
Reproducing Kernel Hilbert Spaces
11 August 2021
»
Dynamical Systems and Machine Learning
10 August 2021
»
An Introduction to Hilbert Spaces
9 August 2021
»
Graph Neural Networks in Computational Biology
8 August 2021
»
What is Euler's Number 'e'?
7 August 2021
»
Euler's Formula
6 August 2021
»
The Characteristic Equation and Eigenvalues
5 August 2021
»
Spanning Trees and Kirchhoff's Theorem
4 August 2021
»
Acceptance Rate of AI Conferences
3 August 2021
»
Deep Graph Learning Foundations, Advances and Applications
2 August 2021
»
Learning Graphs from Data; A Signal Processing Perspective
1 August 2021
»
Making Graphs Compact by Lossless Contraction
31 July 2021
»
A Short Course in Spectral Graph Theory
30 July 2021
»
An Introduction to Spectral Graph Theory
29 July 2021
»
Spectral Graph Theory; Enter Linear Algebra
28 July 2021
»
Spectral Graph Theory; The Standard Random Walk
27 July 2021
»
Spectral Graph Theory; The Quadratic Form
26 July 2021
»
The Laplacian Matrices of Graphs; Algorithms and Applications
25 July 2021
»
Pragmatic Ridge Spectral Sparsification for Large-Scale Graph Learning
24 July 2021
»
Knowledge Graph Embeddings Tutorial; From Theory to Practice
23 July 2021
»
How to use edge features in Graph Neural Networks
22 July 2021
»
Graph Representation Learning
21 July 2021
»
Papers on Graph Neural Networks
20 July 2021
»
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
19 July 2021
»
Super-Constant-Pass Streaming Lower Bounds for Reachability
18 July 2021
»
Awesone Neural ODE
17 July 2021
»
Neural Differential Equations
16 July 2021
»
Generative Adversarial Networks and TF-GAN
15 July 2021
»
Fairness and Bias in Algorithmic Decision-Making
14 July 2021
»
A Learned Sketch for Subgraph Counting
13 July 2021
»
Learning over sets, subgraphs, and streams
12 July 2021
»
Categorical Reparameterization with Gumbel-Softmax
11 July 2021
»
A Deterministic Parallel APSP Algorithm and its Applications
10 July 2021
»
How Do You Generate Synthetic Data?
9 July 2021
»
Synthetic Tabular Data Generation
8 July 2021
»
Decremental All-Pairs Shortest Paths in Deterministic Near-Linear Time
7 July 2021
»
Streaming Lower Bounds for Reachability
6 July 2021
»
Learning Deep Matrix Factorizations Via Gradient Descent
5 July 2021
»
NVIDIA Omniverse and a Future of Shared Worlds
4 July 2021
»
Introduction to Graph Neural Networks
3 July 2021
»
CVPR 2021 Workshop on Autonomous Vehicles
2 July 2021
»
Pytorch-BigGraph; A Large Scale Graph Embedding System
1 July 2021
»
Unsupervised Intelligent Agents
30 June 2021
»
Uncertainty, causality and generalization
29 June 2021
»
Illustrated Guide to RNN, LSTM, and Transformers
28 June 2021
»
Banach Space Representer Theorems for Neural Networks
27 June 2021
»
Next-Generation Recurrent Network Models
26 June 2021
»
Graph Representation Learning for Drug Discovery
25 June 2021
»
PostgreSQL Optimizer Methodology
24 June 2021
»
PPRGo-Scaling Graph Neural Networks with Approximate PageRank
23 June 2021
»
The Energy-Based Learning Model
22 June 2021
»
But how does bitcoin actually work?
21 June 2021
»
Explainable AI Cheat Sheet - Five Key Categories
20 June 2021
»
Digital Twins and Geospatial Data
19 June 2021
»
Trends in Traffic Prediction
18 June 2021
»
Understanding Competencies
17 June 2021
»
Scaling Up Graph Neural Networks to Large Graphs
16 June 2021
»
Inductive Logic Programming
15 June 2021
»
Useful Resources for Traffic Prediction
14 June 2021
»
A Video Game That Looks Like Reality!
13 June 2021
»
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
12 June 2021
»
New lower and upper bounds for quantile summary algorithms
11 June 2021
»
Data Summarization for Machine Learning
10 June 2021
»
Position aware Graph Neural Networks
9 June 2021
»
Instacart Data Description
8 June 2021
»
Fast Counts on Big Data Systems
7 June 2021
»
MonetDB; Scale Up Before You Scale Out
6 June 2021
»
Kronecker Graphs, Data Generation, and Performance
5 June 2021
»
AI+VR; The Kayfabe Life
4 June 2021
»
Efficient Query Processing Using Machine Learning
3 June 2021
»
How to use mathcha math online editor
2 June 2021
»
Uncertainty estimation in supervised learning
1 June 2021
»
Approximately Bayesian Ensembling
31 May 2021
»
Efficient Data Processing on Modern Hardware
30 May 2021
»
AI Bias and Fairness
29 May 2021
»
Generative Models for Graphs
28 May 2021
»
Evidential Deep Learning and Uncertainty
27 May 2021
»
Learned Approximate Query Processing
26 May 2021
»
Meta Learning Tutorial
25 May 2021
»
Deep Learning Outline
24 May 2021
»
Transfer Learning
23 May 2021
»
Approximate nearest neighbor search in high dimensions
22 May 2021
»
Learning-Based Sketching Algorithms
21 May 2021
»
Deep Learning Under Distribution Shift
20 May 2021
»
Principles for Tackling Distribution Shift
19 May 2021
»
Scalable Graph Neural Networks with Deep Graph Library
18 May 2021
»
Deep InfoMax
17 May 2021
»
Introduction to Bandits in Recommender Systems
16 May 2021
»
Our paper has been published in IEEE Access!
15 May 2021
»
Constant Girth Approximation for Directed Graphs in Subquadratic Time
14 May 2021
»
Conditionally optimal approximation algorithms
13 May 2021
»
Sparsification of Graphs and Matrices
15 May 2017
»
Introduction to Graph Thinking
4 May 2017
»
Reinforcement Learning Course - Georgia Tech
4 May 2017
»
Digital Transformation in a Connected World
3 May 2017
»
What is Graph Analytics?
2 May 2017
»
Graphs in Machine Learning
30 April 2017
»
Social and Information Network Analysis
29 April 2017
»
Structural Analysis and Visualization of Networks
21 December 2015
»
MapGraph
30 November 2015
»
Organizational Charts
21 May 2015
»
Large Graph-Mining - Power Tools and a Practitioner's Guide
22 March 2014
»
Stanford Network Analysis Platform(SNAP)
15 March 2014
»
Community Detection - Clustering Coefficient
8 March 2014
»
Predictive Methodologies - Analysis of Time and Space
8 March 2014
»
Predictive Methodologies - Analysis of Space
8 March 2014
»
Predictive Methodologies - Analysis of Social Networks
7 March 2014
»
Theoretical Foundations of Data Mining and Predictive Analytics
7 March 2014
»
Data Used in Predictive Policing
6 March 2014
»
Operational Challenges of Predictive Policing
6 March 2014
»
Forecast Vs. Prediction
5 March 2014
»
Recommendations
5 March 2014
»
Predictive Policing Myths and Pitfalls
5 March 2014
»
Prediction-Led Policing Process and Prevention Methods
4 March 2014
»
Predictive Policing
4 March 2014
»
A Taxonomy of Predictive Methods
3 March 2014
»
“Big Data” Promises a Revolution
13 January 2014
»
Principal Component Analysis
14 December 2013
»
Applications using graph representation
hadoop & mapreduce
9 January 2016
»
Connected Components in MapReduce and Beyond
9 November 2015
»
Michael Stonebraker's Talk
8 November 2015
»
Running Hadoop MapReduce on Tachyon
3 October 2015
»
What is the Future of Hadoop?
23 June 2015
»
Hadoop + GPU Architecture
16 June 2015
»
MapD (Massively Parallel Database) Overview
15 June 2015
»
Data Science using GPUs
14 June 2015
»
IBM Juices Hadoop With Java On Tesla GPUs
12 June 2015
»
Apache Hadoop vs. IBM Platform Symphony and Infosphere BigInsights
11 June 2015
»
How HPC is Hacking Hadoop
11 June 2015
»
High-Performance Computing Cluster
20 May 2015
»
Hadoop-RDMA
25 April 2015
»
MapReduce for C - Run Native Code in Hadoop
23 April 2015
»
5 Ways to Make Your Hive Queries Run Faster
22 April 2015
»
HIVE 0.14 Cost Based Optimizer (CBO) Technical Overview
9 December 2014
»
DryadLINQ
12 October 2014
»
Dryad
23 September 2014
»
Join Optimization
19 September 2014
»
Map-Side Join Vs. Join
18 September 2014
»
What is map side join and reduce side join?
11 September 2014
»
Hive Architecture
5 September 2014
»
Translate from MapReduce to Apache Spark
2 September 2014
»
An Insight into Hadoop YARN NodeManager
25 August 2014
»
Hadoop-GIS Spatial Queries
13 August 2014
»
Running a cluster of virtual machines with Hadoop
9 August 2014
»
Use Parquet with Impala, Hive, Pig, and MapReduce
8 August 2014
»
Actian Unleashes SQL Users on Hadoop with Easy Access, Faster Performance
7 August 2014
»
Presto as a Service
7 August 2014
»
HIVE as a Service
6 August 2014
»
Understanding the world of SQL on Hadoop.
5 August 2014
»
How to Develop Hadoop Tests
4 August 2014
»
MRUnit Tutorial
2 August 2014
»
HIVE TPC-DS Benchmark
2 August 2014
»
Distributed Computing with Spark
30 July 2014
»
Why Oracle Big Data SQL Potentially Solves a Big Issue with Hadoop Security
25 July 2014
»
In-Stream Big Data Processing
24 July 2014
»
Apache Hadoop YARN ResourceManager
23 July 2014
»
Introduction To Pivotal's Next Generation Analytic Data Lake
23 July 2014
»
War of the Hadoop SQL engines. And the winner is …?
22 July 2014
»
Exploring Pivotal HD Single Node (VM)
21 July 2014
»
How Pivotal Works
20 July 2014
»
Parquet - Columnar Storage for the People
19 July 2014
»
Pivotal Big Data Suite
18 July 2014
»
Pivotal HD Introduction & Demo
17 July 2014
»
Special "Use Cases" Big Data & Brews - Hortonworks, Pivotal, MapR
16 July 2014
»
What is Apache Drill?
15 July 2014
»
Drilling into Big Data with Apache Drill
14 July 2014
»
Fun with TPC-H (Part 1)
13 July 2014
»
Implementing Drill Math Functions
12 July 2014
»
Presto By Facebook – A SQL Engine
11 July 2014
»
Big Data - The Hadoop Data Warehouse
10 July 2014
»
Building a Data Warehouse with Hadoop
9 July 2014
»
Why does MapReduce + GPU Computing?
7 July 2014
»
Apache Spark Documentation
5 July 2014
»
Google Cloud Dataflow, a Cloud-native data processing service
3 July 2014
»
Selecting the right SQL-on-Hadoop engine to access big data
2 July 2014
»
Big Data Benchmark
1 July 2014
»
Apache Spark
30 June 2014
»
Optiq
30 June 2014
»
Adding Acid Transactions in Hive
29 June 2014
»
Yarn The Key to Overcoming the Challenges of Broad based Hadoop Adoption
28 June 2014
»
Challenges of Implementing an Advanced SQL Engine on Hadoop
27 June 2014
»
SparkR Enabling Interactive Data Science at Scale on Hadoop
26 June 2014
»
Hbase Read High Availability Using Eventually Consistent Region Replicas
25 June 2014
»
How Hadoop and Hive Change the Data Warehousing Game Forever
24 June 2014
»
Big Data Management System Smart SQL Processing
23 June 2014
»
Query Optimization Techniques and JIT based Vectorized Engine
22 June 2014
»
Pig on Tez - Low Latency ETL with Big Data
21 June 2014
»
Cost Based Query Optimization in Hive
20 June 2014
»
Low Latency SQL on Hadoop
19 June 2014
»
Building a Unified Data Pipeline in Apache Spark
13 June 2014
»
Apache Storm Basics
11 June 2014
»
M7 - Native Storage for MapR Tables
3 June 2014
»
Hadoop Sector will Have Annual Growth of 58% for 2013-2020
2 June 2014
»
Why Impala Continues to Lead?
16 May 2014
»
Development Tools for Big Data
15 May 2014
»
Apache Tajo JDBC Driver
14 May 2014
»
Apache Tajo HCatalog Integration
13 May 2014
»
Spark for Data Science; A Case Study
13 May 2014
»
Apache Tajo Backup and Restore
12 May 2014
»
Apache Tajo Table Partitioning
12 May 2014
»
An Insight into Hadoop Yarn Resource Manager
11 May 2014
»
Apache Tajo SequenceFile
10 May 2014
»
Apache Tajo Parquet
9 May 2014
»
How Apache Hadoop YARN HA Works
9 May 2014
»
Apache Tajo RCFile
8 May 2014
»
Apache Tajo Table Management
8 May 2014
»
Apache Tajo CSV (TextFile)
7 May 2014
»
Papers to Read
7 May 2014
»
Apache Tajo Functions
6 May 2014
»
Apache Tajo SQL Language
5 May 2014
»
Apache Tajo Shell
4 May 2014
»
Apache Tajo™ 0.8.0 Configuration
3 May 2014
»
Apache Tajo™ 0.8.0 Released!
3 May 2014
»
Apache Tajo™ 0.8.0 Documentation
2 May 2014
»
The Stinger Initiative From HortonWorks With Hadoop
1 May 2014
»
Bigtable
30 April 2014
»
Chubby
30 April 2014
»
Big Data & Brews - Ari Zilka, CTO of Hortonworks' Talk
29 April 2014
»
The Google File System (GFS)
29 April 2014
»
Stinger Intiative - Making Apache Hive 100 Times Faster
29 April 2014
»
Stinger - Interactive Query for Hive
29 April 2014
»
Overview of Data Storage and Coordination Services
28 April 2014
»
Underlying Communication Paradigms
28 April 2014
»
Overall Architecture and Design Philosophy
27 April 2014
»
Comparing Apache Tez and Microsoft Dryad
27 April 2014
»
Apache Spark and Apache Tez
26 April 2014
»
Introducing the case study - Google
26 April 2014
»
Integration Tajo with Hive
25 April 2014
»
Choosing the Right SQL-on-Hadoop
24 April 2014
»
How to Run a Simple Apache Spark App in CDH 5
22 April 2014
»
NewSQL Vs. SQL on Hadoop
21 April 2014
»
Presto as a Service
20 April 2014
»
Apache Hadoop YARN – Related Work
16 April 2014
»
Adding ACID to Apache Hive
15 April 2014
»
Eight SQL on Hadoop Challenges
15 April 2014
»
11 SQL-on-Hadoop Tools
14 April 2014
»
Healthcare Does Hadoop
13 April 2014
»
Processing streaming data in Hadoop with Apache Storm
12 April 2014
»
Interactive Query for Hadoop with Apache Hive on Apache Tez
12 April 2014
»
Introducing Apache Tez 0.4
10 April 2014
»
Big Data Genomics Sequencing
7 April 2014
»
Failures in YARN
7 April 2014
»
Failures in Classic MapReduce
6 April 2014
»
YARN Framework and Fault Tolerance
4 April 2014
»
Apache Hadoop YARN – Node Manager (NM)
3 April 2014
»
Hardening Hadoop for Healthcare with Project Rhino
3 April 2014
»
Apache Tajo
3 April 2014
»
Build Instructions for Apache Tajo
2 April 2014
»
Apache Hadoop YARN – Application Master (AM)
2 April 2014
»
Apache Hadoop in 2013 - The State of the Platform
31 March 2014
»
Apache Hadoop YARN – Architecture Overview
31 March 2014
»
Apache Hadoop YARN – Resource Manager (RM)
30 March 2014
»
Apache Hadoop YARN – History and Rationale, Shared Clusters
25 March 2014
»
Network Topology and Hadoop
24 March 2014
»
Modern Oil & Gas Architectures Built with Hadoop
23 March 2014
»
Using Avro in MapReduce Jobs with Pig
23 March 2014
»
Using Avro in MapReduce Jobs with Java
23 March 2014
»
Using Avro in MapReduce Jobs with Hive
23 March 2014
»
Using Avro in MapReduce Jobs with Hadoop Streaming
23 March 2014
»
MapReduce and Hadoop Papers in the VLDB
23 March 2014
»
MapReduce and Hadoop Algorithmic in Academic Papers
12 March 2014
»
Hive on Tez
12 March 2014
»
Functional Requirements of Hive on Tez Phase I
12 March 2014
»
Query Planning of Hive on Tez
12 March 2014
»
Design of Hive on Tez
11 March 2014
»
Apache Tez 0.3 Released!
5 March 2014
»
Apache Drill
3 March 2014
»
Apache Hadoop YARN – History and Rationale
2 March 2014
»
As MapReduce fades, Apache Spark is now a top-level project
1 March 2014
»
Apache Hadoop YARN – ResourceManager
1 March 2014
»
Apache Hadoop YARN – Yet Another Resource Negotiator
1 March 2014
»
Apache Hadoop YARN – NodeManager
28 February 2014
»
Apache Hadoop YARN – Concepts and Applications
28 February 2014
»
Apache Hadoop YARN – Background and Overview
28 February 2014
»
Papers about MapReduce
28 February 2014
»
Introducing Apache Hadoop YARN
10 February 2014
»
Tez Design - Introduction
9 February 2014
»
Building a Hybrid Modern Data Architecture for Apache Hadoop
16 January 2014
»
Writing a Tez Input, Processor and Output
16 January 2014
»
Runtime API in Apache Tez
16 January 2014
»
Re-Using Containers in Apache Tez
16 January 2014
»
Introducing Tez Sessions
16 January 2014
»
Data Processing API in Apache Tez
16 January 2014
»
Apache Tez Dynamic Graph Reconfiguration
15 January 2014
»
Apache Tez A New Chapter in Hadoop Data Processing
14 January 2014
»
Introduction to the Tez
12 December 2013
»
YARN (MapReduce 2)
htap
27 February 2016
»
A Better B-Tree in Hekaton
26 February 2016
»
The Bw-Tree; A B-tree for New Hardware
25 February 2016
»
Hekaton Research
24 February 2016
»
Distributed Transactions
23 February 2016
»
ACID Isolation Level
22 February 2016
»
Notes About Memory Allocation Redesign
21 February 2016
»
Postgres Modifications
20 February 2016
»
The Databaseology Lectures
19 February 2016
»
C++ Arena Allocation Guide
18 February 2016
»
Region-based Memory Management
16 February 2016
»
What is VoltDB?
16 February 2016
»
Peloton Architecture
15 February 2016
»
Insert-Only Implementation Strategies
6 February 2016
»
Understanding the SQL Server Columnstore Index
4 February 2016
»
Hekaton Breaks Through
2 February 2016
»
Compensating Transaction
1 February 2016
»
In-Memory Column Store Architecture Overview
31 January 2016
»
Advantages & Disadvantages of an In-Memory Database
28 January 2016
»
Main Memory DBMS
27 January 2016
»
HYBRID WORKLOADS AND HTAP
26 January 2016
»
Peloton
19 January 2016
»
MVCC Overview
18 January 2016
»
SAP HANA
16 January 2016
»
HYRISE
15 January 2016
»
Main Compensation and Delta Compensation
14 January 2016
»
Aggregate Cache
13 January 2016
»
MonetDB Source compilation on OS X
30 October 2015
»
What is HTAP?
18 September 2015
»
Using HyPer with PostgreSQL Drivers
17 August 2015
»
Hyper
16 August 2015
»
From Big Data to Fast Data
14 August 2015
»
SAP Hana In-Memory Explained In Nine Minutes
13 August 2015
»
Business unIntelligence
9 August 2015
»
Sharing Experiences in Cloud Adoption
8 August 2015
»
IBM Hybrid Transaction Analytic Processing HTAP
6 August 2015
»
CIOs and the Ongoing Data Persistence Struggle
5 August 2015
»
Hybrid Trasansaction/Analytical Processing (HTAP)
4 August 2015
»
Hybrid Trasansactional/Analytical Processing (HTAP)
3 August 2015
»
HTAP and The Future of Data
machine learning
11 November 2024
»
Multimodal Machine Learning
10 November 2024
»
A Brief Introduction to Causal Inference
9 November 2024
»
Intro to Quantum Gibbs Samplers - Algorithmic Ingredients
8 November 2024
»
Long Range Propagation on Continuous-Time Dynamic Graphs
7 November 2024
»
Graph Neural Networks and Spectral Graph Theory
6 November 2024
»
Maximum Entropy Method
6 November 2024
»
What is Agentic AI?
5 November 2024
»
Moravec's Paradox
5 November 2024
»
Invariant Learning
4 November 2024
»
How Could Machines Reach Human-Level Intelligence?
4 November 2024
»
Bayesian Inference - Parametric Inference, Predictive Inference
3 November 2024
»
Decoding on Graphs; Empower LLMs with KGs
2 November 2024
»
Data Heterogeneity Analysis for Out-of-Distribution Generalization
1 November 2024
»
Generative Retrieval
31 October 2024
»
Change of Variable Rule
30 October 2024
»
Chernoff and Hoeffding bounds
29 October 2024
»
Spectral Graph Theory
29 October 2024
»
Multimodal Large Language Models
28 October 2024
»
RL Loses Against Multi-Agent Intelligence
27 October 2024
»
DuckDB in the wild
26 October 2024
»
How to transform tabular data into a graph
25 October 2024
»
Isoperimetric Number
25 October 2024
»
Converting a Tabular Dataset to a Graph Dataset for GNNs
24 October 2024
»
Towards Neuro-Symbolic AI with Knowledge Graphs and LLMs
23 October 2024
»
Toward Understanding In-context Learning
22 October 2024
»
On large language models and transformers
21 October 2024
»
Understanding and Improving Efficient Language Models
20 October 2024
»
The Hierarchy of Needs for Training Dataset Development
19 October 2024
»
Uplift Modeling; From Causal Inference to Personalizations
18 October 2024
»
Unifying Graph Neural Networks
17 October 2024
»
LLMOps and FMOps for e-commerce
16 October 2024
»
What Are Drifts and How to Detect Them?
15 October 2024
»
Deep Learning of Dynamics and Coordinates with SINDy Autoencoders
14 October 2024
»
Introduction to Llama-agents Framework
13 October 2024
»
Building Trusted AI with LLMs
12 October 2024
»
How Domain-Specific AI Agents Will Shape the Industrial World
11 October 2024
»
Harvard Presents NEW Knowledge-Graph AGENT (MedAI)
10 October 2024
»
ParadeDB – Postgres for Search and Analytics
9 October 2024
»
Re-thinking Transformers
8 October 2024
»
XAI for LLMs; looking under the hood of Large Language Models
7 October 2024
»
Physics-informed Machine Learning for Inverse Problems
6 October 2024
»
Efficient Gaussian Splatting
5 October 2024
»
Evaluating AI models for structure-based drug design
4 October 2024
»
Discrete Flow Matching
3 October 2024
»
Understanding Large Action Model (LAM)
2 October 2024
»
How I Understand Flow Matching
1 October 2024
»
Toward a better Deep Learning
30 September 2024
»
Geometric Probabilistic Models
29 September 2024
»
Fine-tuning and Merging LLMs
28 September 2024
»
Normalizing Flows
27 September 2024
»
Improving and Generalizing Flow-Based Generative Models
26 September 2024
»
Flow Matching; Simplifying and Generalizing Diffusion Models
25 September 2024
»
A Fast, Embeddable, Modular Analytic Query Engine
24 September 2024
»
Improving equality and productivity with AI-driven tax policies
23 September 2024
»
Scaling Limits of Neural Networks
22 September 2024
»
Economic Policy Design using DRL and AI Simulations
21 September 2024
»
AI Economist - How can AI FIX taxes?
20 September 2024
»
Economics and Probabilistic Machine Learning
19 September 2024
»
Rethinking Physics Informed Neural Networks
18 September 2024
»
Differential Equations and Dynamical Systems
17 September 2024
»
High Level Overview of AI and ML in Science and Engineering
16 September 2024
»
A Trip Down the Generative Graphics Pipeline
15 September 2024
»
Decoding Google Gemini with Jeff Dean
14 September 2024
»
A Brief Introduction to Neural Radiance Fields
13 September 2024
»
SGD and Weight Decay Secretly Compress Your Neural Network
12 September 2024
»
Morris Approximate Counter
11 September 2024
»
Towards Understanding the Implicit Regularization Effect of SGD
10 September 2024
»
Language Models as World Models
9 September 2024
»
Building LLMs from the Ground Up
8 September 2024
»
Marginal-based Methods for Differentially Private Synthetic Data
7 September 2024
»
Differentially Private Synthetic Data via Foundation Model APIs
6 September 2024
»
GraphRAG; The Marriage of Knowledge Graphs and RAG
5 September 2024
»
Decoding the Human Brain – A Neurosurgeon’s Experience
4 September 2024
»
ML for High-Performance Climate and Earth Virtualization Engines
3 September 2024
»
How To Read AI Research Papers Effectively
2 September 2024
»
Building Large Language Models (LLMs)
1 September 2024
»
DuckDB – Overview and latest developments
30 August 2024
»
Unreasonably Effective AI with Demis Hassabis
29 August 2024
»
The COMPLETE TRUTH About AI Agents
28 August 2024
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The Future of Knowledge Assistants
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Heterogeneous Continual Learning
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Tractable Control for Autoregressive Language Generation
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Explainable Data Drift for NLP
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Explainable Deep Learning for Structured Data
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Graph Linear Algebra
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Differentially Private Sampling from Distributions
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Bayesian Principles for Machine Learning
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Differentially Private GNNs with Aggregation Perturbation
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Interpretability via Symbolic Distillation
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PrivSyn - Differentially Private Data Synthesis
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Towards Reliable Use of Large Language Models
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Trustworthy AI - A Computational Perspective
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Distributed and Multiagent Reinforcement Learning
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9 July 2023
»
MLOps Pipeline Tutorial with ZenML and Kubeflow
8 July 2023
»
ML models with ZenML and BentoML
7 July 2023
»
Recent Advances in Vision Foundation Models
6 July 2023
»
CVPR 2023 Tutorials
5 July 2023
»
Model Registry and Deployment with MLflow
4 July 2023
»
How to Deploy ML Models in Production with BentoML
3 July 2023
»
Data Science–A Systematic Treatment
2 July 2023
»
LEARN ENGLISH with STEVE JOBS
1 July 2023
»
DuckDB Internals
30 June 2023
»
How to Master the Art of Leadership
29 June 2023
»
Getting Started with ZenML
28 June 2023
»
Generative Models for Language and Vision
27 June 2023
»
ChatGPT, LLMs & Generative AI; What Your Business Needs to Know
26 June 2023
»
Differential Privacy & Variants
21 June 2023
»
Towards Learned Database Systems
20 June 2023
»
Deep Lake; a Lakehouse for Deep Learning
19 June 2023
»
Towards Natural Language Query Answering
2 June 2023
»
Do We Still Need People To Write Database Systems?
1 June 2023
»
Generative AI and Databases
31 May 2023
»
Contrastive Learning in PyTorch
30 May 2023
»
Self-Supervised Learning; Self-Prediction and Contrastive Learning
24 May 2023
»
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks
17 May 2023
»
Bayesian Neural Network
10 May 2023
»
Study Less Study Smart
9 May 2023
»
Kubeflow v1.7 Release Overview
27 April 2023
»
Amazon Redshift Internals
26 April 2023
»
ChatGPT Course – Use The OpenAI API to Code 5 Projects
24 April 2023
»
Installing and Using NVIDIA Docker
18 April 2023
»
Hypertree Decompositions
17 April 2023
»
What is Platform Engineering?
13 April 2023
»
Databricks Spark SQL / Photon
12 April 2023
»
Google BigQuery / Dremel
10 April 2023
»
Personalized Image Generation
9 April 2023
»
Kubeflow Pipelines 2.0
8 April 2023
»
Learning to Transfer Knowledge Through Embedding Spaces
7 April 2023
»
Traffic Prediction with Transfer Learning
7 April 2023
»
First-Passage Percolation and Related Models
6 April 2023
»
Sparse Fourier Transform Algorithm for Real-Time Applications
2 April 2023
»
The Frontier of Deep Learning for Robotics
26 March 2023
»
Microsoft's Products Will Soon Access Open AI Tools Like ChatGPT
25 March 2023
»
LLaMA & Alpaca; "ChatGPT" On Your Local Computer
23 March 2023
»
Multi-Objective Recommender Systems
27 February 2023
»
Hands-on Explainable Recommender Systems with Knowledge Graphs
26 February 2023
»
Improving Recommender Systems with Human in the Loop
12 February 2023
»
Open-Source Systems for Federated Learning
11 February 2023
»
An Introduction to Federated Computation
10 February 2023
»
Data Governance and Sharing on Lakehouse
9 February 2023
»
Data Mesh and Lakehouse
8 February 2023
»
Master Data Management
7 February 2023
»
Setting up Big Data Fabric
6 February 2023
»
On Future of the Modern Data Stack
1 February 2023
»
Data Virtualization in Data Fabric
31 January 2023
»
Recommender Systems using Graph Neural Networks
26 January 2023
»
Activate Your Modern MetaData Stack
24 January 2023
»
Databricks Lakehouse makes payments ingestion and analytics simple
18 January 2023
»
The Essential Guide to Data Lineage
17 January 2023
»
Data Governance Explained in 5 Minutes
16 January 2023
»
Automated Data Lineage with Unity Catalog
9 January 2023
»
Active Metadata - Understanding the magic behind the Data Fabric
8 January 2023
»
Introduction to Data Mesh
7 January 2023
»
PostgreSQL vs MySQL
6 January 2023
»
Activate Your Metadata to Empower Innovation
6 January 2023
»
Accelerating Hybrid Data Mesh Implementation
5 January 2023
»
Deep-Dive into Delta Lake
4 January 2023
»
Delta Lake 2.0 Overview
3 January 2023
»
Advancing Spark - The Photon Whitepaper
2 January 2023
»
Column-Level Lineage and Active Metadata
1 January 2023
»
Five Things to Consider About Data Mesh and Data Governance
30 December 2022
»
Data Mesh Implementation Patterns
29 December 2022
»
Intro to Databricks Lakehouse Platform Architecture and Security
28 December 2022
»
Meshing About with Databricks
27 December 2022
»
Enterprise Data Fabric
26 December 2022
»
Converging Advances to Accelerate Molecular Simulation
26 December 2022
»
Learning Delaunay Surface Elements for Mesh Reconstruction
26 December 2022
»
Data Fabric for Self-Driving Cars
23 December 2022
»
Knowledge Graphs Seminar
19 December 2022
»
Data Cataloging with Knowledge Graphs
14 December 2022
»
The Foundation of a Data Fabric
13 December 2022
»
Data Mesh, Data Fabric, Data Lakehouse
12 December 2022
»
Tractable Probabilistic Circuits
6 December 2022
»
Distributed Analytical Database Systems
5 December 2022
»
GraphZeppelin - Streaming Graph Connectivity at Scale
1 December 2022
»
Understanding Graph Data Representations in Triplestores
30 November 2022
»
Graph-Powered Data Exploration
29 November 2022
»
Google BigQuery
28 November 2022
»
Conformal Prediction Tutorial
21 November 2022
»
Traffic Prediction Paper Collection
15 November 2022
»
End-to-end Optimization of Machine Learning Prediction Queries
14 November 2022
»
Compute Complex Temporal Join Queries Efficiently
8 November 2022
»
Making Learned Query Optimization Practical
7 November 2022
»
Universal Database Optimizer
6 November 2022
»
Machine Learning for Query Optimization
5 November 2022
»
ML Explainability
4 November 2022
»
Towards Generalizable Autonomy
4 November 2022
»
Building an AI and ML ready Modern Data Platform
4 November 2022
»
Diffusion Probabilistic Modelling of Protein Backbones in 3D
3 November 2022
»
ICCV Authors Guidelines
2 November 2022
»
Diffusion Probabilistic Models
1 November 2022
»
Stable Diffusion - What, Why, How?
31 October 2022
»
Deep Energy-Based Learning
30 October 2022
»
Incident Prediction in Spatio-Temporal Road Graph Networks
19 October 2022
»
Diffusion probabilistic modelling of protein backbones in 3D
18 October 2022
»
Contrastive Learning in PyTorch
17 October 2022
»
Neural Rendering
10 October 2022
»
Anatomy of a Research Paper
6 October 2022
»
Geometric Deep Learning for Drug Discovery
4 October 2022
»
Deploy Custom Python Model Server
3 October 2022
»
Contrastive Learning in PyTorch
2 October 2022
»
InferenceService using a Custom Torchserve Image
28 September 2022
»
From Machine Learning to Autonomous Intelligence
27 September 2022
»
Towards a Learned Index Structure for ANN Search
15 September 2022
»
Graph Processing; from Academic Research to Industrial Application
14 September 2022
»
Katana Graph; A Graph Intelligence Platform
6 September 2022
»
Machine Learning for Scientific Discovery
2 September 2022
»
Graph Neural Networks as Gradient Flows
4 August 2022
»
Ab-Initio Potential Energy Surfaces
1 August 2022
»
Reinforcement Learning via Sequence Modeling
30 July 2022
»
Recipe for a General, Powerful, Scalable Graph Transformer
29 July 2022
»
Spatial Hash Grids & Tales from Game Development
28 July 2022
»
Cardinality Estimation Benchmark
27 July 2022
»
Spatial Indexing in PostGIS
27 July 2022
»
Data-driven Learned Metric Index; an Unsupervised Approach
26 July 2022
»
Synopses - Samples, Histogram, Wavelets and Sketches
25 July 2022
»
Query Execution in MonetDB
24 July 2022
»
Low overhead self-optimizing storage for compression
23 July 2022
»
A Database Tuning Tool that "Reads the Manual"
22 July 2022
»
Rethinking Graph Transformers with Spectral Attention
21 July 2022
»
Introduction to TorchServe
21 July 2022
»
MicroK8s Installation & Simple Commands
20 July 2022
»
Diffusion Models from Scratch in PyTorch
19 July 2022
»
Deep Learning Theory Lectures
18 July 2022
»
Kubeflow Fairing
18 July 2022
»
Kubeflow Fairing, Pipelines, and Training
17 July 2022
»
On Recoverability of Graph Neural Network Representation
16 July 2022
»
Deploy Model to KServe
15 July 2022
»
TorchScript and PyTorch JIT
14 July 2022
»
Spectra of Graphs and Hypergraphs
14 July 2022
»
How to Serve PyTorch Models with TorchServe
13 July 2022
»
A Novel Data Set for Information Retrieval on the Basis of Subgraph Matching
13 July 2022
»
Graph Embedding in Vector Spaces Using Matching-Graphs
12 July 2022
»
Google Cloud BigQuery ML Using SQL
11 July 2022
»
Open World Lifelong Learning
10 July 2022
»
On Machines that can Learn Continually
9 July 2022
»
Introduction to Continual Learning
8 July 2022
»
Introducing OpenAPI Generator
7 July 2022
»
Kubeflow Development Environment
6 July 2022
»
KFServing Deep Dive
5 July 2022
»
Protein structure prediction with AlphaFold
4 July 2022
»
Deep Learning for Scientific Computation
3 July 2022
»
Started with AI in Drug Discovery
2 July 2022
»
Istio Simplified
1 July 2022
»
Knative and Microk8s with Multipass
30 June 2022
»
KServe in Kubenetes
29 June 2022
»
Graph Ordering Attention Networks
28 June 2022
»
Introduction to KServe
27 June 2022
»
Position-Aware Graph Neural Network using Reachability Estimations
26 June 2022
»
Isomorphism Using Adjacency Matrix
25 June 2022
»
Efficient Probabilistic Truss Indexing on Uncertain Graphs
24 June 2022
»
Toward Verified Artificial Intelligence
23 June 2022
»
Modern Data Stack
22 June 2022
»
PyTorchJobClient
22 June 2022
»
KServe (Kubeflow KFServing) Live Coding Session
21 June 2022
»
Workflow for ML Projects — MLOps
20 June 2022
»
Kubeflow Setup
19 June 2022
»
Introduction to Data Mesh
18 June 2022
»
Theory of Graph Neural Networks
17 June 2022
»
Representational Power of Graph Nerual Networks
16 June 2022
»
Task structure and generalization in graph neural networks
15 June 2022
»
Geometry Processing with Neural Fields
14 June 2022
»
Trends in AI
14 June 2022
»
RelationalAI Knowledge Graph Management System
13 June 2022
»
Topological Graph Neural Networks
12 June 2022
»
Causality and (Graph) Neural Networks
11 June 2022
»
Using Graph Neural Networks for Multi-Node Representation Learning
10 June 2022
»
Epistemic Uncertainty Estimation for Efficient Search of Drug Candidates
9 June 2022
»
Toward Neuro Causality
9 June 2022
»
Connect to MySQL Database from Visual Studio Code
8 June 2022
»
Data-Efficient Graph Grammar Learning for Molecular Generation
8 June 2022
»
Rethinking Graph Transformers with Spectral Attention
8 June 2022
»
How GNNs and Symmetries can help to solve PDEs
7 June 2022
»
Neural diffusion PDEs, differential geometry, and graph neural networks
7 June 2022
»
BigQuery ML; Machine Learning with Standard SQL
6 June 2022
»
GNN with Learnable Structural and Positional Presentations
5 June 2022
»
Istio Service Mesh 101
5 June 2022
»
Graph Neural Networks and Diffusion PDEs
4 June 2022
»
Recommender Systems using Graph Neural Networks
4 June 2022
»
Manage Multi-tenant ML Workloads Using Istio
4 June 2022
»
Graph Neural Networks as Neural Diffusion PDEs
3 June 2022
»
Exploring ML Model Serving with KServe
3 June 2022
»
Kubeflow Tutorial | Model Serving
3 June 2022
»
Using AI to accelerate scientific discovery
2 June 2022
»
Java to MySQL using Visual Studio Code
1 June 2022
»
Developing the Kubernetes Python Client
31 May 2022
»
Kubernetes Patterns
30 May 2022
»
Using Visual Studio Code for Java Maven Project
29 May 2022
»
Mapping External Services
28 May 2022
»
MiniKF; Kubeflow on your laptop
28 May 2022
»
Gateway Routing Pattern
27 May 2022
»
Kubeflow v1.5 Release Overview
26 May 2022
»
TensorFlow Distributed Training on Kubeflow
25 May 2022
»
Sidecar Pattern
24 May 2022
»
YAML
23 May 2022
»
Kubeflow on macOS
23 May 2022
»
Why is Kubernetes called K8s?
22 May 2022
»
Kubernetes Crash Course for Absolute Beginners
21 May 2022
»
Marrying Top k with Skyline Queries
20 May 2022
»
Spatial Skyline Queries on Triangulated Irregular Networks
19 May 2022
»
Challenges and Solutions of Using Kubernetes for Blockchain Applications
18 May 2022
»
PyTorch Training (PyTorchJob)
18 May 2022
»
Kubeflow Architecture
18 May 2022
»
Istio and Service Mesh
17 May 2022
»
Kubernetes Tutorial for Beginners
17 May 2022
»
Serving Machine Learning Models at Scale Using KServe
17 May 2022
»
Advanced Model Inferencing Leveraging Kubeflow Serving
16 May 2022
»
PyTorch via SQL Commands
15 May 2022
»
Scaling Shortest Path Graph Queries on Very Large Networks
14 May 2022
»
Hierarchical Core Maintenance on Large Dynamic Graphs
13 May 2022
»
Shortest Paths and Centrality in Uncertain Networks
12 May 2022
»
Bag of Tricks for Node Classification with Graph Neural Networks
11 May 2022
»
The Case for Learned Index Structures
10 May 2022
»
Deep Learning for Graph Similarity Search
9 May 2022
»
HyperSPNs; Compact and Expressive Probabilistic Circuits
8 May 2022
»
Learned Index Structures for Dynamic and Multi-Dimensional Data
7 May 2022
»
Blame the Data, Not the System
6 May 2022
»
Hyperbolic Embeddings in Machine Learning and Deep Learning
5 May 2022
»
What are Temporal Databases?
4 May 2022
»
Git Commit Message Style Guide
3 May 2022
»
What is PrestoDB?
2 May 2022
»
Spatial, High Dimensional, Temporal Data Indexing and Querying
1 May 2022
»
A Learned Spatial Index for Range and kNN Queries
30 April 2022
»
An Introduction to Spatial Data and its Applications
29 April 2022
»
Robustness/Interpretability in Vision & Language Models
28 April 2022
»
Visual Data Analysis; How? When? Why?
27 April 2022
»
SageDB; A Self-Assembling Database System
26 April 2022
»
Towards Zero-Shot Learning for Databases
25 April 2022
»
From Workload-Driven to Zero-Shot Learning
24 April 2022
»
From Notebook to Kubeflow Pipelines to KFServing
23 April 2022
»
Improving Transfer and Robustness of Supervised Contrastive Learning
22 April 2022
»
Approximate Query Processing
21 April 2022
»
What are Probabilistic Data Structures?
20 April 2022
»
Approximation Algorithms for Large Scale Data Analysis
19 April 2022
»
Modeling Relational Data with Graph Convolution Network
18 April 2022
»
Open-source Change Data Capture With Debezium
18 April 2022
»
Finding Approximately Repeated Patterns in Time Series
17 April 2022
»
Looper; An End-to-End ML Platform for Product Decisions
16 April 2022
»
Learned Indexing and Sampling for Improving Query Performance
15 April 2022
»
Principles of Good Machine Learning Systems Design
14 April 2022
»
Deep Learning Design Patterns
13 April 2022
»
Tips for Thinking Like a Machine Learning Architect
12 April 2022
»
Machine Learning Design Patterns
11 April 2022
»
Introduction to Kubeflow
10 April 2022
»
Martingale Theory
9 April 2022
»
Making Architecture Matter
8 April 2022
»
Bayesian Inference for Big Data
7 April 2022
»
Architecture and Cardinality Estimations for Graph Queries
6 April 2022
»
What causes congestion?
5 April 2022
»
Optimization problems in graphs with locational uncertainty
4 April 2022
»
Deep Implicit Layers
3 April 2022
»
Convex Functions
2 April 2022
»
Quantum Deep Learning
1 April 2022
»
Uncertainty and Out-of-Distribution Robustness in Deep Learning
31 March 2022
»
Probabilistic Methods for Increased Robustness in Machine Learning
30 March 2022
»
Probabilistic Circuits - Representations, Inference, Learning and Theory
29 March 2022
»
FLAT-Fast, Lightweight and Accurate Method for Cardinality Estimation
28 March 2022
»
Learned Query Scheduling
23 March 2022
»
A 10 Minute Introduction to Kubeflow
22 March 2022
»
Ethics of Artificial Intelligence
21 March 2022
»
What is AI Ethics?
20 March 2022
»
What is the Cardinality Estimator?
18 March 2022
»
Qd-tree - Learning Data Layouts for Big Data Analytics
17 March 2022
»
Sum-Product Networks
16 March 2022
»
Towards Zero-Shot Learning for Databases
15 March 2022
»
Machine Learning Design Patterns
14 March 2022
»
Learned DBMS Components 2.0
13 March 2022
»
Deep Multi-task and Meta Learning
12 March 2022
»
Machine Learning Design Patterns - Rebalancing
11 March 2022
»
Calcite Tutorial
10 March 2022
»
NeuroCard - One Cardinality Estimator for All Tables
12 January 2022
»
GNN based Recommender Systems
6 January 2022
»
On the Nature of Data Science
5 January 2022
»
Breaking the Limit of Graph Neural Networks using Local Mixing Patterns
4 January 2022
»
Performance Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks
1 January 2022
»
Data Fabrics for Enterprise Data Management?
31 December 2021
»
Query Optimization and Acceleration at Dremio
30 December 2021
»
AI4DB & DB4AI-Papers
29 December 2021
»
Permissioned Blockchains
28 December 2021
»
Apache Spark, Data Science + Machine Learning
27 December 2021
»
Introduction to Temporal Graph Neural Networks
26 December 2021
»
Traffic Forecasting with Pytorch Geometric Temporal
9 December 2021
»
Geometric Deep Learning
8 December 2021
»
What Is NFT? - Non Fungible Token
5 December 2021
»
Deep Recommender Systems
4 December 2021
»
Weisfeiler and Lehman Go Cellular; CW Networks
3 December 2021
»
Matrix Multiplication, and the Asymptotic Spectrum Of Tensors
2 December 2021
»
Traffic Prediction for Intelligent Transport System
23 November 2021
»
Revisiting Knowledge Graph Completion From a Practical Perspective
22 November 2021
»
Applying Machine Learning-based Database Tuning in Production
21 November 2021
»
Cloud-Native Ledger Graph Database
17 November 2021
»
A Probabilistic Model for Joint Inference from Differential Equations
7 November 2021
»
Optimization Frameworks for Graph Clustering
2 November 2021
»
Neuralising a Computer Scientist
14 October 2021
»
Preparing For Your Dissertation Defense
13 October 2021
»
Oral Dissertation Defense Preparation
12 October 2021
»
How To Defend Your Thesis? Top 10 Tips For Success
11 October 2021
»
How to Get a PhD in Computer Science
10 October 2021
»
100 Thesis Defense Questions in 3 Categories
9 October 2021
»
10 Mistakes to Avoid When Defending Your Thesis
8 October 2021
»
How to prepare for your PhD thesis defence
7 October 2021
»
Geometric Deep Learning-Past, Present, And Future Optimization
6 October 2021
»
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization
5 October 2021
»
How to write a literature review - my simple 5 step process!
4 October 2021
»
Geometric Deep Learning - from Euclid to drug design
3 October 2021
»
Graph Isomorphism in Quasipolynomial Time
2 October 2021
»
Geometric Deep Learning Blueprint
1 October 2021
»
Geometric Deep Learning-The Erlangen Programme of ML
30 September 2021
»
KDD Cup OGB Large-Scale Challenge
29 September 2021
»
Theoretical Foundations of Data-Driven Algorithm Design
28 September 2021
»
Relational Inductive Biases, Deep Learning, and Graph Networks
27 September 2021
»
The Future Is Big Graphs
26 September 2021
»
The Universal Approximation Theorem
25 September 2021
»
Equivariant Networks and Natural Graph Networks
24 September 2021
»
An Introduction to Hamiltonian Monte Carlo Method for Sampling
23 September 2021
»
Recurrent Neural Networks for Cognitive Neuroscience
22 September 2021
»
Permutation Equivariance of Graph Filters
21 September 2021
»
Graph Convolutional and Isomorphism Networks
20 September 2021
»
Combinatorial Properties of the Weisfeiler-Leman Algorithm
19 September 2021
»
Advances in Self-Supervised Learning
18 September 2021
»
Contrastive Loss, Deep Metric Learning
17 September 2021
»
Self-Supervised Learning
16 September 2021
»
Contrastive Learning; A General Self-supervised Learning Approach
15 September 2021
»
Supervised Contrastive Learning
14 September 2021
»
What is Noise-Contrastive Estimation?
13 September 2021
»
GNNs with Learnable Structural and Positional Representation
12 September 2021
»
Knowledge Graph Representation
11 September 2021
»
Temporal Graph Networks (TGN)
10 September 2021
»
Building a Recommender System using Graph Neural Networks
9 September 2021
»
Junction Tree Variational Autoencoder for Molecular Graph Generation
8 September 2021
»
Understanding Graph Attention Networks
7 September 2021
»
GVAE Training and Adjacency Reconstruction
6 September 2021
»
Graph Representation Learning for Drug Discovery
5 September 2021
»
Graph Neural Networks for Traffic Prediction
4 September 2021
»
Visual Exploration of Trajectory Data
3 September 2021
»
GPS Data Analysis with Python
2 September 2021
»
22 Python libraries for Geospatial Data Analysis
1 September 2021
»
Clustering Trajectories
31 August 2021
»
Towards Causal Representation Learning
30 August 2021
»
Random Sum Product Networks
29 August 2021
»
Understanding & Generating Source Code with Graph Neural Networks
28 August 2021
»
Sum-Product Networks; The Next Generation of Deep Models
27 August 2021
»
Deep Learning to Discover Coordinates for Dynamics
26 August 2021
»
The Power of Graph Signal Processing
25 August 2021
»
Some Mathematical Problems in Graph Signal Processing
24 August 2021
»
On Laplacian Eigenmaps for Dimensionality Reduction
23 August 2021
»
Overview of Graph Embeddings
22 August 2021
»
Sum-Product Networks; Powerful Models with Tractable Inference
21 August 2021
»
Sum-Product Networks
20 August 2021
»
Geometric Deep Learning and Reinforcement Learning
19 August 2021
»
Discovering Genetic Medicines with our AI Drug Discovery Platform
18 August 2021
»
Proof of Euler's Formula
17 August 2021
»
GNNs and RL in Traffic Optimization in Cities
16 August 2021
»
Graph Neural Networks and Applications to Deep Reinforcement Learning
15 August 2021
»
Writing Scientific Papers
14 August 2021
»
Drug Discovery with GANs
13 August 2021
»
PyTorch nn.Embedding()
12 August 2021
»
Reproducing Kernel Hilbert Spaces
11 August 2021
»
Dynamical Systems and Machine Learning
10 August 2021
»
An Introduction to Hilbert Spaces
9 August 2021
»
Graph Neural Networks in Computational Biology
8 August 2021
»
What is Euler's Number 'e'?
7 August 2021
»
Euler's Formula
6 August 2021
»
The Characteristic Equation and Eigenvalues
5 August 2021
»
Spanning Trees and Kirchhoff's Theorem
4 August 2021
»
Acceptance Rate of AI Conferences
3 August 2021
»
Deep Graph Learning Foundations, Advances and Applications
2 August 2021
»
Learning Graphs from Data; A Signal Processing Perspective
1 August 2021
»
Making Graphs Compact by Lossless Contraction
31 July 2021
»
A Short Course in Spectral Graph Theory
30 July 2021
»
An Introduction to Spectral Graph Theory
29 July 2021
»
Spectral Graph Theory; Enter Linear Algebra
28 July 2021
»
Spectral Graph Theory; The Standard Random Walk
27 July 2021
»
Spectral Graph Theory; The Quadratic Form
26 July 2021
»
The Laplacian Matrices of Graphs; Algorithms and Applications
25 July 2021
»
Pragmatic Ridge Spectral Sparsification for Large-Scale Graph Learning
24 July 2021
»
Knowledge Graph Embeddings Tutorial; From Theory to Practice
23 July 2021
»
How to use edge features in Graph Neural Networks
22 July 2021
»
Graph Representation Learning
21 July 2021
»
Papers on Graph Neural Networks
20 July 2021
»
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
19 July 2021
»
Super-Constant-Pass Streaming Lower Bounds for Reachability
18 July 2021
»
Awesone Neural ODE
17 July 2021
»
Neural Differential Equations
16 July 2021
»
Generative Adversarial Networks and TF-GAN
15 July 2021
»
Fairness and Bias in Algorithmic Decision-Making
14 July 2021
»
A Learned Sketch for Subgraph Counting
13 July 2021
»
Learning over sets, subgraphs, and streams
12 July 2021
»
Categorical Reparameterization with Gumbel-Softmax
11 July 2021
»
A Deterministic Parallel APSP Algorithm and its Applications
10 July 2021
»
How Do You Generate Synthetic Data?
9 July 2021
»
Synthetic Tabular Data Generation
8 July 2021
»
Decremental All-Pairs Shortest Paths in Deterministic Near-Linear Time
7 July 2021
»
Streaming Lower Bounds for Reachability
6 July 2021
»
Learning Deep Matrix Factorizations Via Gradient Descent
5 July 2021
»
NVIDIA Omniverse and a Future of Shared Worlds
4 July 2021
»
Introduction to Graph Neural Networks
3 July 2021
»
CVPR 2021 Workshop on Autonomous Vehicles
2 July 2021
»
Pytorch-BigGraph; A Large Scale Graph Embedding System
1 July 2021
»
Unsupervised Intelligent Agents
30 June 2021
»
Uncertainty, causality and generalization
29 June 2021
»
Illustrated Guide to RNN, LSTM, and Transformers
28 June 2021
»
Banach Space Representer Theorems for Neural Networks
27 June 2021
»
Next-Generation Recurrent Network Models
26 June 2021
»
Graph Representation Learning for Drug Discovery
25 June 2021
»
PostgreSQL Optimizer Methodology
24 June 2021
»
PPRGo-Scaling Graph Neural Networks with Approximate PageRank
23 June 2021
»
The Energy-Based Learning Model
22 June 2021
»
But how does bitcoin actually work?
21 June 2021
»
Explainable AI Cheat Sheet - Five Key Categories
20 June 2021
»
Digital Twins and Geospatial Data
19 June 2021
»
Trends in Traffic Prediction
18 June 2021
»
Understanding Competencies
17 June 2021
»
Scaling Up Graph Neural Networks to Large Graphs
16 June 2021
»
Inductive Logic Programming
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Useful Resources for Traffic Prediction
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A Video Game That Looks Like Reality!
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Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
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New lower and upper bounds for quantile summary algorithms
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Data Summarization for Machine Learning
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Position aware Graph Neural Networks
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Instacart Data Description
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Fast Counts on Big Data Systems
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Kronecker Graphs, Data Generation, and Performance
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AI+VR; The Kayfabe Life
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Efficient Query Processing Using Machine Learning
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Uncertainty estimation in supervised learning
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Approximately Bayesian Ensembling
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Efficient Data Processing on Modern Hardware
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AI Bias and Fairness
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Generative Models for Graphs
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Evidential Deep Learning and Uncertainty
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Learned Approximate Query Processing
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Meta Learning Tutorial
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Deep Learning Outline
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Transfer Learning
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Approximate nearest neighbor search in high dimensions
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Learning-Based Sketching Algorithms
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Deep Learning Under Distribution Shift
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Principles for Tackling Distribution Shift
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Scalable Graph Neural Networks with Deep Graph Library
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Deep InfoMax
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Introduction to Bandits in Recommender Systems
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Generative Adversarial Networks
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Hardness of Approximation Between P and NP
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GPT-3 = Generation Pre-trained Transformer 3
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Graph Attention Networks Implementation
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Introduction to Pytorch Geometric
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Deep Learning for Graphs
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Geometric Deep Learning
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Matching of Matching Graphs
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GCNs for Web-Scale Recommender Systems
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Limitations of Graph Neural Networks
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Choice of Graph Representation
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Machine Learning with Graphs
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Temporal Graph Networks for Deep Learning on Dynamic Graphs
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Mathematical Foundations of the GraphBLAS and Big Data
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Graph Signal Processing for Machine Learning Applications
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Papers on Recommendation Systems
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Representational Power of Graph Neural Networks
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Tunable Stream Graph Embeddings at Scale
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Graph Neural Networks
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Graph Convolutional Networks using only NumPy
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Temporal Graph Networks for Dynamic Graphs
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Graph Algorithms as Matrix Vector Products
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Distributed Machine Learning with Python
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Deep Networks Are Kernel Machines
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Fast Distributed Algorithms for Girth, Cycles and Small Subgraphs
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Graph Sketching, Streaming, and Sampling
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Theoretical Foundations of Graph Neural Networks
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Efficiently Answering Span Reachability Queries
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Probabilistic Reachability for MDPs
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Enable Digital Transformation with Big Spatial Data & Analytics
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Online Approximation Techniques for Spatial Data
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Sparse Matrices Beyond Solvers
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Research Resources for Approximate Query Processing
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The Forward-Backward Embedding of Directed Graphs
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The Dynamics of Active Sensing in Social Networks
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Large-scale Graph Representation Learning
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Graph Embedding
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Individual and Collective Graph Mining
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New Machine Learning Tool Tracks Urban Traffic Congestion
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Network Analysis
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Getting Started With Network Datasets
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Bourgain's Embedding
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High Accuracy Protein Structure Prediction Using Deep Learning
2 December 2020
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Testing Correlation of Unlabeled Random Graphs
1 December 2020
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Designing Effective Scientific Presentations
27 November 2020
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Quick & Simple Call Graphs in Python
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Latent Network Summarization
20 November 2020
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Asymptotic Spectral Distributions for Strongly Regular Graphs
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Graph Convolutional Neural Networks for Molecule Generation
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Deep Learning on Graphs
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Principles and Applications of Relational Inductive Biases
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Traffic Prediction with Advanced Graph Neural Networks
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Papers on Graph Neural Networks
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Self-Driving Databases
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Network Representation Learning
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Non-Volatile Memory for Database Management Systems
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Related Papers on Graph Neural Networks
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Finding a New Knowledge
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Beautiful Elastic Simulations, Now Much Faster!
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Approximate Nearest Neighbor Search in High Dimensions
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Billion-scale Approximate Nearest Neighbor Search
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Spatio-Temporal Traffic Prediction Using Deep Learning
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Machine Learning Dissertations
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Research Day
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CS Theory Toolkit
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Deep Learning with PyTorch
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Graph Signal Processing
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Deep Learning Lectures
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Convolutional LSTMs for Video Prediction
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Research Proposal
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Nonlinear Dimensionality Reduction
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AI for Neuroscience and Neuroscience for AI
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Optimal Join Algorithms meet Top-k
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Machine Learning Projects Against COVID-19
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Antistrong Digraphs
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Reflections from the Turing Award Winners
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Recent Progress in High-Dimensional Learning
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Dynamics of Real Networks - Patterns and Algorithms
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This AI Removes Shadows From Your Photos!
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Deep Generative Models for Brain Reading
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Setting Up Your Kubeflow ML Environment
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Statistical Learning Theory for Modern Machine Learning
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Deep Learning for Computer Vision
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Big Ideas in Causality and Machine Learning
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AI for physics & physics for AI
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A Blueprint of Standardized and Composable Machine Learning
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Random Walks on Directed Graphs
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Neural Ordinary Differential Equations
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A Spatio-Temporal U-Network for Graph-structured Time Series Modeling
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Variational Graph Recurrent Neural Networks
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Influence Analytics in Graphs
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Learning from Limited Labeled Data
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State of the Industry of Machine Learning Platforms
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Fundamentals of NumPy
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Fundamentals of PyTorch
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Towards Lifelong Learning Machines (L2L)
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Graph Attention Networks
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Learning Equivariant and Hybrid Message Passing on Graphs
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Adversarial Examples and Human-ML Alignment
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Graph Nets; The Next Generation
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Meta-learning
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Meta-learning of Optimizers and Update Rules
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Efficient Deep Learning with Humans in the Loop
20 July 2020
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Generalizable Autonomy for Robot Manipulation
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Conditional Channel Gated Networks for Task-Aware Continual Learning
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Transfer/Low-Shot/Semi/Unsupervised Learning
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Mathematical Modeling of Epidemics
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How Behavior Spreads
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Network Diffusion & Contagion
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Explainable AI - Methods, Applications & Recent Developments
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Graph Representation Learning
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The Feature Store
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An Introduction to Meta Learning
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Explainable AI
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Design of BigQuery ML
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Improving Generalization by Self-Training & Self Distillation
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Neurosymbolic AI
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Task dependent adaptive metric for improved few-shot learning
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Variational Continual Learning
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Lifelong and Continual Learning
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The Power Of BI (Business Intelligence) in Digital Marketing
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Urban Computing
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Urban Computing with Advanced Visualization
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IEEE ITEC Best Presentation Award
12 June 2019
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Transfer Learning - Part II
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Transfer Learning - Part I
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DeepWalk-Turning Graphs Into Features via Network Embeddings
26 May 2019
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Graph Embeddings
16 May 2019
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Deep Learning on Graphs
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Graph Signal Processing
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Learning to Learn
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Exploring And Attacking Neural Networks With Activation Atlases
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Miracles of Algebraic Graph Theory
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A History of Spectral Graph Theory and its Applications
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The JPEG Compression Algorithm
28 April 2019
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Transfer Learning
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Geometric Deep Learning Papers
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Controlling Traffic with Reinforcement Learning
19 April 2019
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Ian Goodfellow-Generative Adversarial Networks (GANs)
13 April 2019
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Metric Learning and Manifolds
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Awesome Knowledge Distillation
10 April 2019
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The Power of Self-Learning Systems
3 April 2019
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Variational Inference-Foundations and Modern Methods
28 March 2019
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3D Deep Learning
27 March 2019
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Machine Learning on Geometrical Data
26 March 2019
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Hough Transform for Lines
25 March 2019
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Deep Compression
24 March 2019
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Model Compression Papers
23 March 2019
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Deep RL Bootcamp
21 March 2019
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Natural Policy Gradients, TRPO, PPO
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Deep Learning for Recommender Systems
19 March 2019
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Awesome Knowledge Distillation
18 March 2019
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Knowledge Distillation
17 March 2019
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Distill and transfer learning for robust multitask RL
14 March 2019
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Geometric Deep Learning
13 March 2019
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Visualizing and Understanding Generative Adversarial Networks
8 March 2019
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Trust Region Policy Optimization
6 March 2019
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Generative Adversarial Imitation Learning
3 March 2019
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Google AI's Take on How To Fix Peer Review
26 February 2019
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Towards Generalization and Efficiency in Reinforcement Learning
22 February 2019
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Acceptance Rate of AI Conferences
17 February 2019
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PyTorch Geometric
10 February 2019
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SQL Query Optimization Meets Deep Reinforcement Learning
31 January 2019
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Time Series Forecasting using Statistical and Machine Learning Models
29 January 2019
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BMM Summer Course 2018 Slides
28 January 2019
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A Style-Based Generator Architecture for GAN
25 January 2019
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Multi-Agent Reinforcement Learning
24 January 2019
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15 January 2019
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Automatic Machine Learning
9 January 2019
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Generalizing Convolutions for Deep Learning
21 December 2018
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Unsupervised Deep Learning
29 September 2018
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Manifold Learning Yields Insight into Complex Biological State Space
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Project Malmo – a platform for fundamental AI research
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Keras vs. PyTorch
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Variational Inference - Foundations and Innovations
2 July 2018
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The GAN Zoo
26 June 2018
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25 June 2018
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23 June 2018
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From Deep Learning of Disentangled Representations to Higher-level Cognition
22 June 2018
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NVIDIA - AI for Generating High-Resolution Images
19 June 2018
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Neural Image Stitching And Morphing
13 June 2018
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Anomaly Detection for Real-World Systems
12 June 2018
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Anomaly Detection
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29 May 2018
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Applied Time Series Econometrics in Python and R
28 May 2018
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Time Series Analysis with Python Intermediate
25 May 2018
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Two Effective Algorithms for Time Series Forecasting
16 May 2018
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AI Learns Painterly Harmonization
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Deep Learning with Ensembles of Neocortical Microcircuits
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A Neural Network Model That Can Reason
12 May 2018
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누구나 할 수 있는 엄청난 몰입력의 5가지 단계
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This AI Reproduces Human Perception
10 May 2018
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미루는 버릇을 완전히 없애주는 '2분짜리 간단한 습관'
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From Generative Models to Generative Agents
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World Models
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What Can Machine Learning Do? Workforce Implications
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Introduction to AI for Video Games
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3D Generative-Adversarial Modeling
25 April 2018
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Generative Models
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The Design of Traffic Flow Prediction System Based on Multimodal Data
24 April 2018
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AI Photo Translation
23 April 2018
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Cluster Analysis
22 April 2018
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Deepmind AlphaZero - Mastering Games Without Human Knowledge
21 April 2018
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NIPS Paper Evaluation Criteria
20 April 2018
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Tutorial on GANs
19 April 2018
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Equilibrium points in n-person games
18 April 2018
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Machine Learning Reports
17 April 2018
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Gaussian Material Synthesis
16 April 2018
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Sequence Generative Adversarial Nets with Policy Gradient
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The Robot Revolution - The New Age of Manufacturing
14 April 2018
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Evolutionary Generative Adversarial Networks
13 April 2018
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Time Series Generation with Recurrent Conditional GANs
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Predicting Car Prices using Neural Networks
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Predicting Car Prices - Linear Regression
10 April 2018
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Deep Reinforcement Learning
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Brains, Minds and Machines Summer Course
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OpenAI Meta Learning and Self Play
7 April 2018
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Time Series Analysis
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Using Support Vector Machines as Flower Finders
5 April 2018
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SARSA vs Q-learning
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Building a Neural Network Using the Iris Data Set
4 April 2018
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Classification using Decision Trees in R
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The Long-term of AI & Temporal-Difference Learning
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Leeds annual traffic growth
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One pixel attack for fooling deep neural networks
28 March 2018
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Learning From Scratch
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Cellular Automata
26 March 2018
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Radial basis function (RBFs)
25 March 2018
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Karush-Kuhn-Tucker Condition
24 March 2018
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Boundary Equilibrium Generative Adversarial Networks
23 March 2018
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GAN Tutorials
17 March 2018
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All about the GANs
16 March 2018
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Predicting Congestion with Tensorflow
15 March 2018
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Processing 100 Billion IoT Events
14 March 2018
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Predicting congestion on London's roads with TensorFlow
13 March 2018
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Improving Traffic Prediction Using Weather Data
23 February 2018
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Pruning Makes Faster and Smaller Neural Networks
22 February 2018
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NIPS 2017 Proceedings
21 February 2018
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Distributed TensorFlow
18 February 2018
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This Autonomous Robot Models Your House Interior
17 February 2018
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Reproducibility in Deep Reinforcement Learning
16 February 2018
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Google's Text Reader AI
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SLAC Dataset From MIT and Facebook
8 February 2018
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DeepMind Control Suite
6 February 2018
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Data Mining Lecture Slides
5 February 2018
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AI Research Trends
4 February 2018
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Data-Driven Mesoscopic Simulation Models
3 February 2018
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Introduction to Geometric Deep Learning
2 February 2018
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Geometric Deep Learning Paper and Code
1 February 2018
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Geometric Deep Learning
28 January 2018
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Building Machines That Learn and Think Like People
27 January 2018
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TensorTraffic
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Universal Neural Style Transfer
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Testing Software in the Age of Machine Learning
15 November 2017
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Effective TensorFlow for Non-Experts
4 November 2017
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Gartner Top 10 Strategic Technology Trends 2018
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Transferring AI To The Real World (OpenAI)
1 September 2017
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Natural Language Processing with Deep Learning
10 July 2017
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Practical Machine Learning Tutorial with Python
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DeepMind's AI Learns Superhuman Relational Reasoning
16 May 2017
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Multi-Agent Reinforcement Learning
15 May 2017
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Knowledge Based Artificial Intelligence Part 3 ~ 5
14 May 2017
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Knowledge Based Artificial Intelligence Part 2
13 May 2017
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Knowledge Based Artificial Intelligence Part 1
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Advanced Analytics with Spark
11 May 2017
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AI Learns to Synthesize Pictures of Animals
10 May 2017
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Latent Dirichlet Allocation Concept
9 May 2017
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Mining Massive Data Sets
5 May 2017
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Deep Photo Style Transfer
4 May 2017
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Reinforcement Learning Course - Georgia Tech
4 May 2017
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Digital Transformation in a Connected World
3 May 2017
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What is Graph Analytics?
2 May 2017
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Gunrock - GPU Graph Analytics
2 May 2017
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Graphs in Machine Learning
1 May 2017
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AI Creates 3D Models From Faces
30 April 2017
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Social and Information Network Analysis
29 April 2017
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Structural Analysis and Visualization of Networks
28 April 2017
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Learning Local Geometric Descriptors from RGB-D Reconstructions
28 April 2017
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Machine Learning APIs by Example
27 April 2017
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Distributed Optimization via Alternating Direction Method of Multipliers
26 April 2017
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Learning and Adaptation
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Semantic Scene Completion from a Single Depth Image
24 April 2017
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Latent Space Model for Road Networks to Predict Time-Varying Traffic
23 April 2017
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Reinforcement Learning
23 April 2017
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Deep Reinforcement Learning
22 April 2017
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Analysis and Prediction of Spatiotemporal Traffic Congestion
21 April 2017
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Reinforcement Learning Papers
20 April 2017
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Technological Singularity
18 April 2017
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Three Applications of Deep Learning in Big Data Analytics
17 April 2017
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Optimization for Machine Learning
16 April 2017
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Unsupervised Representation Learning
15 April 2017
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Generalization and Equilibrium in Generative Adversarial Networks
14 April 2017
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How to train a GAN
13 April 2017
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Generative Adversarial Networks (GANs)
11 April 2017
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Deep Advances in Generative Modeling
11 April 2017
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A Guide to Edge IoT Analytics
10 April 2017
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Edge Accelerated Web Platform
9 April 2017
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Edge Computing - IoT and Thinking Machine
9 April 2017
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Top AI and Machine Learning Conferences in 2017
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Fast Data at Internet Scale with Amazon ElastiCache for Redis
5 April 2017
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Fast Data, Fast Monitoring
4 April 2017
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Geometric Detail Transfer
4 April 2017
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Generative Adversarial Networks - Part III
3 April 2017
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Generative Adversarial Networks - Part II
2 April 2017
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Image Editing with Generative Adversarial Networks
2 April 2017
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Generative Adversarial Networks - Part I
2 April 2017
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Can we build AI without losing control over it?
1 April 2017
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The Review Process for NIPS 2016
1 April 2017
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Guidelines for Writing a Good NIPS Paper
31 March 2017
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Graph Streams and Sketches
31 March 2017
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CNNs in Practice
30 March 2017
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Proceedings of The ICML 2016
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Acceptance Ratio Statistics for Computational Intelligence Conferences
29 March 2017
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Machine Learning Papers in AAAI Conference 2017
28 March 2017
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Three things you need to know about machine learning
28 March 2017
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Artificial Intelligence 3.0 – Third Wave of AI
27 March 2017
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Wide & Deep Learning; Memorization + Generalization with TensorFlow
27 March 2017
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Keynote - TensorFlow Dev Summit 2017
26 March 2017
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Recent Results in Cloud Robotics
24 March 2017
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Theory, Practice, and Standardization of Eye-tracking Technology
23 March 2017
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Understanding 3D Shapes With AI
22 March 2017
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Occam's Razor
21 March 2017
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Massive Exploration of Neural Machine Translation Architectures
21 March 2017
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5 Technology Trends in 2017 that Change Your Way of Living
20 March 2017
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The Evolution of Artificial Intelligence
18 March 2017
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How Deep Neural Networks Work
17 March 2017
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Stable Neural Style Transfer
16 March 2017
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GPU accelerated population annealing algorithm
15 March 2017
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Learning Sound Representations from Unlabeled Video
14 March 2017
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Modeling Human Communication Dynamics
13 March 2017
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Improving the Neural GPU Architecture for Algorithm Learning
12 March 2017
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How to Build an Intelligent Machine
11 March 2017
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Introduction to Deep Learning
10 March 2017
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Ten Data Acquisition Strategies for Startups
9 March 2017
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Automatic Creation of Sketch Tutorials
8 March 2017
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Deep Voice; Real-time Neural Text-to-Speech
5 March 2017
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Data, not algorithms, is key to machine learning success
4 March 2017
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The current state of machine intelligence 3.0
3 March 2017
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Optimizing Deep CNN-Based Queries over Video Streams at Scale
2 March 2017
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Gibbs Sampling-Probabilistic Graphical Models
28 February 2017
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AI; The New Electricity
27 February 2017
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Large-Scale Stochastic Learning using GPUs
25 February 2017
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Artificial Intelligence
23 February 2017
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Learning to Fill Holes in Images
20 February 2017
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Major Conferences and Journals about Machine Learning
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Most Cited Deep Learning Papers
16 February 2017
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Data Preparation for Machine Learning
15 February 2017
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How to Prepare Data For Machine Learning
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Deep Natural Language Processing
6 February 2017
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What is Artificial Intelligence?
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Universe
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Game AI Development with OpenAI Universe
3 February 2017
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Deep Reinforcement Learning - Pong from Pixels
31 January 2017
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How Intelligent Machines Learn to Make Sense of the World
26 January 2017
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AI Makes 3D Models From Photos
25 January 2017
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Attention Transfer
24 January 2017
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Text Style Transfer
23 January 2017
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IBM Watson-The Power of Artificial Intelligence
23 January 2017
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Adaptive Machine Learning for Real-Time Streaming
22 January 2017
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AI and Deep Learning at Amazon
21 January 2017
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Datasets for Deep Learning
20 January 2017
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DataSets and Machine Learning
19 January 2017
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Open Data for Deep Learning
18 January 2017
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Deep Learning Program Hallucinates Videos
17 January 2017
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Reinforcement Learning
16 January 2017
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Deep Reinforcement Learning
15 January 2017
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Introduction to Deep Learning and Self-Driving Cars
14 January 2017
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Deep Learning Resources
13 January 2017
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Transfer Learning and Fine-tuning Deep Convolutional Neural Networks
11 January 2017
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Machine Learning Algorithms
10 January 2017
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Gunrock
9 January 2017
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Neural Network Learns The Physics of Fluids and Smoke
8 January 2017
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Recurrent Neural Networks, Image Captioning, LSTM
7 January 2017
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The Unreasonable Effectiveness of Recurrent Neural Networks
6 January 2017
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Understanding LSTM Networks
2 January 2017
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Mathematical Methods for Robotics, Vision, and Graphics
20 November 2016
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Human Pose Estimation with Deep Learning
19 November 2016
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WaveNet by Google DeepMind
26 October 2016
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IBM Watson Health
21 October 2016
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Large Scale Machine Learning
3 June 2016
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Fundamentals of Deep Learning
2 June 2016
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TensorFlow Tutorial
1 June 2016
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TensorFlow Examples
31 May 2016
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Deep Learning Reading List
29 May 2016
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Convolutional Neural Networks for Visual Recognition
25 May 2016
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How to read the genome and build a human being
23 May 2016
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Artistic Style Transfer For Videos
21 May 2016
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Deep Reinforcement Terrain Learning
19 May 2016
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The Intel® Deep Learning Framework
18 May 2016
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Self-Taught Learning and Unsupervised Feature Learning
15 May 2016
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Deep Learning - Intelligence from Big Data
8 May 2016
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How DeepMind's AlphaGo Defeated Lee Sedol
7 May 2016
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The Next Step in GPU-Accelerated Deep Learning
6 May 2016
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Convolutional Neural Networks
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Awesome Deep Learning
3 May 2016
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Training Deep Neural Networks With Dropout
2 May 2016
»
Advanced Operating Systems
1 May 2016
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Machine Learning Courses
30 April 2016
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Deep Learning Terms
8 March 2016
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9 Cool Deep Learning Applications
21 January 2016
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Gartner Top 10 Tech Trends for 2016
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CES 2016 Keynote
16 September 2015
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Big Data and Machine Learning - Keys to AI Progress
22 April 2014
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Deep Learning
5 April 2014
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Smart Things vs. Many Experienced Things
20 February 2014
»
PredictionIO
nosql
8 July 2014
»
Why NoSQL?
20 May 2014
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Google Spanner
19 May 2014
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Column-Family Stores
18 May 2014
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Key-Value and Document Data Models
16 May 2014
»
Development Tools for Big Data
29 April 2014
»
Stinger Intiative - Making Apache Hive 100 Times Faster
29 April 2014
»
Stinger - Interactive Query for Hive
26 April 2014
»
Introducing the case study - Google
26 April 2014
»
Integration Tajo with Hive
25 April 2014
»
Choosing the Right SQL-on-Hadoop
22 April 2014
»
NewSQL Vs. SQL on Hadoop
30 March 2014
»
Functional Programming
28 March 2014
»
Implementing Graph-Based Applications
28 March 2014
»
Designing Graph-Based Applications
23 March 2014
»
NoSQL Databases
15 February 2014
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Key Points from NoSQL Distilled
2 January 2014
»
The Emergence of NoSQL
16 December 2013
»
Understanding trade-offs with Brewer’s CAP theorem
21 August 2013
»
Impedance Mismatch
21 August 2013
»
The Value of Relational Databases
12 July 2013
»
What is NoSQL?
22 June 2013
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Neo4j
21 June 2013
»
Graph Databases
9 June 2013
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NoSQL History
papers
22 March 2018
»
How To Read a Scientific Research Paper
29 January 2016
»
Research Topics in Database Management
11 January 2016
»
IEEE NetSoft 2016 Call for Demonstrations
6 January 2016
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Papers in Parallel and Distributed Data Management
2 January 2016
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Telling a Story
1 January 2016
»
The Scope of a Paper
14 December 2015
»
Main Memory and Streaming Databases
9 December 2015
»
Calendar of Computer Graphics Events
8 December 2015
»
LaTeX Fonts on Mac OS X
5 December 2015
»
Proceedings of the VLDB Endowment, Volume 9
3 December 2015
»
Research Posters 101
21 November 2015
»
22nd ACM SIGKDD Conference
20 November 2015
»
Writing-up Qualitative Research
14 October 2015
»
How To Read A Paper
11 October 2015
»
Paper Writing Strategy
10 October 2015
»
Paper Writing
28 September 2015
»
ACM TODS Manuscript Preparation
14 September 2015
»
Distributed Computing Conferences
13 September 2015
»
IEEE Transactions on Knowledge and Data Engineering
30 July 2015
»
Summarizing
17 July 2015
»
How to Write a Good Paper
8 June 2015
»
How to Read a Technical Paper
31 May 2015
»
SIGMOD 2015 Papers
22 April 2015
»
How to Write a Paper Efficiently
13 August 2014
»
Research skills
23 March 2014
»
MapReduce and Hadoop Papers in the VLDB
23 March 2014
»
MapReduce and Hadoop Algorithmic in Academic Papers
21 March 2014
»
Conduct Research Survey
13 March 2014
»
Stream Data Processing for Performance Evaluation of the Equipment in an Offshore Plant
28 February 2014
»
Papers about MapReduce
16 January 2014
»
Synchronization among Heterogeneous Distributed Objects
14 January 2014
»
How to write a good research paper
24 December 2013
»
How to overcome common obstacles to publishing in English
15 November 2013
»
Characteristics of the Smart Devices
15 September 2013
»
Logical Communication-based Middleware for Collaboration among Smart Apps in P2P Network Environments
15 April 2013
»
Paper Organization
parallel computing
17 March 2018
»
A Modern Toolkit for Microservice Communication
10 March 2018
»
Real-Time Data Processing with Apache Flink
8 March 2018
»
Mesos Installation
8 March 2018
»
Building Mesos
5 March 2018
»
An Introduction to Protobufs
4 March 2018
»
Taking the I out of PaaS with Apache Mesos
3 March 2018
»
Software Projects Built on Mesos
2 March 2018
»
Distributed Deep Learning on Mesos
2 March 2018
»
Apache Mesos and GPUs
14 February 2018
»
What Will We Do With Quantum Computing?
13 February 2018
»
Road Transport Systems
12 February 2018
»
OSPRay
11 February 2018
»
Streaming Through Caches
10 February 2018
»
GPU Architectures and New Programming Model Features
9 February 2018
»
Computer Architecture Essentials
5 February 2018
»
What is Quantum Computing?
31 January 2018
»
Neuromorphic Chip
17 January 2018
»
Graph Partitioning
16 March 2017
»
GPU accelerated population annealing algorithm
7 March 2017
»
Billion-scale similarity search with GPUs
28 February 2017
»
AI; The New Electricity
27 February 2017
»
Large-Scale Stochastic Learning using GPUs
10 February 2017
»
Spark-GPU; An Accelerated In-Memory Data Processing Engine on Clusters
25 May 2016
»
How to read the genome and build a human being
24 May 2016
»
The Art of Neural Networks
24 May 2016
»
Multithreaded Python with OpenMP
9 May 2016
»
Creating an SPMD Vectorizer for OpenCL with LLVM
14 April 2016
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Thread Local Storage
24 January 2016
»
Readings in Parallel Computer Architecture
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»
Lecture 0 - Course Description and Logistics
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»
Parallel Computer Architecture Course
29 December 2015
»
Map-D
28 December 2015
»
Clang MapReduce
27 December 2015
»
Rethinking the Role of CPUs in Modern Computers
19 December 2015
»
Multiprocessor Synchronization
11 December 2015
»
Unum Computing
6 November 2015
»
Extreme Scale Computing
1 November 2015
»
Computer Architecture Recommended Readings
31 October 2015
»
Introduction to Computer Architecture
25 October 2015
»
Lambda Expression in C++
20 October 2015
»
Legion Bootcamp
8 October 2015
»
RAMCloud Training
7 October 2015
»
Kudu - New Apache Hadoop Storage for Fast Analytics on Fast Data
6 October 2015
»
GridGain In-Memory Data Fabric
11 September 2015
»
Advantages of Functional Programming
20 July 2015
»
OpenMOLE
18 July 2015
»
Advanced Vector Extension
15 July 2015
»
Mega-KV, A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores
12 June 2015
»
Apache Hadoop vs. IBM Platform Symphony and Infosphere BigInsights
11 June 2015
»
How HPC is Hacking Hadoop
11 June 2015
»
High-Performance Computing Cluster
5 June 2015
»
Rethinking SIMD Vectorization for In-Memory Databases
5 June 2015
»
Introduction to Docker
4 June 2015
»
Scala idiom - Prefer immutable data structures
3 June 2015
»
Scala - Tools and Frameworks
3 June 2015
»
Scala - Pattern Matching
3 June 2015
»
Scala - Functional/Collection
2 June 2015
»
Why Scala?
2 June 2015
»
Introduction to Scala
2 June 2015
»
Scala - Object Oriented Features
2 June 2015
»
Scala Installation
2 June 2015
»
Scala Basics
1 June 2015
»
Totally Lazy
13 February 2015
»
The Bulk Synchronous Parallel Model
30 August 2014
»
Data-based parallelism
29 August 2014
»
Task-based parallelism
28 August 2014
»
Concurrency
27 August 2014
»
Serial/Parallel Problems
26 August 2014
»
Multinode Computing
16 June 2014
»
Grid Architecture and Service Modeling
14 June 2014
»
Features of Cloud and Grid Platforms
8 June 2014
»
Zero-Copy
8 June 2014
»
Remote Direct Memory Access
6 June 2014
»
GPU Programming for the Data Sciences
20 May 2014
»
GTC On-Demand
13 May 2014
»
Intel® Xeon Phi™ Coprocessor - the Architecture
1 May 2014
»
GPU Cluster
30 April 2014
»
GPU Accelerated Computing with C and C++
23 April 2014
»
Resource Management Fundamentals
19 April 2014
»
Advanced and Distributed Operating Systems
1 April 2014
»
Grid Computing
1 April 2014
»
Design Objectives of Computer Clusters
1 April 2014
»
Clustering for Massive Parallelism
29 March 2014
»
Why Functional Programming?
29 March 2014
»
Parallel Computing
27 March 2014
»
Data-intensive Computing
26 March 2014
»
Mapping and Folding and the Map-Reduce Paradigm
20 March 2014
»
Functional versus Procedural Programming Models
27 January 2014
»
Parallel R
5 January 2014
»
Computational Thinking
4 January 2014
»
Introduction to Transactional Memory
26 December 2013
»
Concurrent Bug Patterns and How to Test Them
presentation
27 April 2018
»
Korea Summit 2018
2 April 2018
»
Why we learn?
22 March 2018
»
How To Read a Scientific Research Paper
18 March 2018
»
How to Write a Research Plan
6 March 2018
»
Just Do It
31 January 2018
»
중세 과학
30 January 2018
»
고대 과학
19 April 2017
»
학교와 직장의 차이점
7 April 2017
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Tell Me About Yourself - A Good Answer to This Interview Question
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»
PhD Interview Questions
15 March 2017
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How to Improve your Clarity of Thought
24 February 2017
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How to Prepare and Deliver a Great TED talk
26 May 2016
»
IELTS & TOEFL Writing - 5 Common Mistakes
26 April 2016
»
일상으로의 초대
7 April 2016
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아주 짧은 인생을 가치 있게 보내는 법
17 February 2016
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그댄 행복에 살텐데
14 February 2016
»
The 5 Leadership Styles
13 February 2016
»
등록금 0원
11 February 2016
»
Emotional Intelligence
10 February 2016
»
Studying in Germany
7 February 2016
»
민물장어의 꿈
10 January 2016
»
Sparks of Genius
5 January 2016
»
If today were the last day
12 December 2015
»
Think Fast, Talk Smart
23 November 2015
»
Steve Jobs' Last Words
23 November 2015
»
12 Habits of Extraordinarily Motivated People
20 November 2015
»
Writing-up Qualitative Research
29 October 2015
»
Bad Boys Blue Collection
15 September 2015
»
우리는 왜 우리가 되지 못하는가?
15 August 2015
»
How Google Works
15 July 2015
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What is Visual Thinking?
14 July 2015
»
Ordeal
13 July 2015
»
Einstein and Buddhism
6 July 2015
»
CV vs. Resume
3 July 2015
»
You've got to find what you love
2 July 2015
»
What You're Really Meant to Do
1 July 2015
»
Logotherapy
28 June 2015
»
Today
27 June 2015
»
Mathematical Universe?
26 June 2015
»
The Power of Inquiry to Spark Breakthrough Ideas
25 June 2015
»
A More Beautiful Question
24 June 2015
»
Categorical Imperative
23 June 2015
»
Ballad Music Collection
21 June 2015
»
Discussion
20 June 2015
»
The School of Athens
17 June 2015
»
Common Lisp using LLVM and C++ for Molecular Metaprogramming
17 June 2015
»
Big Data Challenges and Opportunities
12 June 2015
»
Darwin Day 2015 Questions
27 May 2015
»
A well-planned kickoff meeting sets the tone for a successful project
26 May 2015
»
Seven Key Elements for a Successful Kickoff Meeting Agenda
22 May 2015
»
Cornell Notes
11 May 2015
»
Writing An Author Bio
10 April 2015
»
How to Prepare for Your Performance Review Meeting
27 March 2015
»
Passion
12 February 2015
»
Effective Meeting Strategy
13 August 2014
»
Research skills
5 June 2014
»
Steve Jobs - One Last Thing
31 May 2014
»
Camino and Hope
30 May 2014
»
Camino, Dream and Choice
29 May 2014
»
Creativity in Business
23 May 2014
»
A Thousand Dreams of You
20 May 2014
»
Such a Man
30 April 2014
»
The Selfish Gene
18 April 2014
»
10 Usability Heuristics for User Interface Design
17 April 2014
»
Folder Management
15 April 2014
»
Computer Science @ University of Cambridge
11 April 2014
»
How to Share a Bread Evenly
9 April 2014
»
24 Live Another Day
24 March 2014
»
Steve Jobs at SIGGRAPH 1995
27 February 2014
»
Chest aching Story
21 February 2014
»
Like a star
8 February 2014
»
Let it go
5 February 2014
»
Randy Pausch Last Lecture, Achieving Your Childhood Dreams
3 February 2014
»
Sunflower
25 January 2014
»
A Flying Butterfly
4 January 2014
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Impressionist Tutorial
4 January 2014
»
Introduction to Impress.js
3 December 2013
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Open The Door
6 October 2013
»
How to play the piano in a week
5 October 2013
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Smile Again
21 May 2013
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The Presentation Secrets of Steve Jobs
10 February 2013
»
Wisdom from Steve Jobs
publications
15 February 2018
»
Conferences 2018
2 January 2016
»
Telling a Story
1 January 2016
»
The Scope of a Paper
14 October 2015
»
How To Read A Paper
11 October 2015
»
Paper Writing Strategy
10 October 2015
»
Paper Writing
8 June 2015
»
How to Read a Technical Paper
11 April 2014
»
How to Share a Bread Evenly
13 March 2014
»
Stream Data Processing for Performance Evaluation of the Equipment in an Offshore Plant
14 January 2014
»
How to write a good research paper
24 December 2013
»
How to overcome common obstacles to publishing in English
9 December 2013
»
Publications
software engineering
24 March 2017
»
Google Developer Day Keynote
17 January 2016
»
Work Breakdown Structure (WBS)
18 December 2015
»
Software Engineering Principle 3
17 December 2015
»
Software Engineering Principle 2
16 December 2015
»
Software Engineering Principle 1
23 May 2014
»
Unit Test
19 May 2014
»
Open Source Analysis Tips
19 May 2014
»
Functional Specifications
9 April 2014
»
Using Gitlab on Mac OS X
8 April 2014
»
Gitlab Installation on Mac OS X
11 February 2014
»
Scrum Events
28 January 2014
»
Effective Team Membership
8 January 2014
»
Sequence Diagram
3 January 2014
»
Explaining Agile
24 December 2013
»
Real-Time Data Stream Manager (RTDSM) Interface Specification
22 November 2013
»
Extreme Programming
15 October 2013
»
Scrum Agile Development Process
25 September 2013
»
Agile Project Management
22 July 2013
»
Agile Processes and Scrum
spark
12 May 2017
»
Advanced Analytics with Spark
31 December 2015
»
Queries on Compressed RDDs
30 November 2015
»
Twitter Analysis with Apache Spark and IBM Watson
24 November 2015
»
The Pushdown of Everything
28 October 2015
»
A Taste of Random Decision Forests on Apache Spark
27 October 2015
»
ADAM Project
24 October 2015
»
Spark - The Ultimate Scala Collections
23 October 2015
»
BDAS Software Stack
21 October 2015
»
Spark Cluster Configuration
18 October 2015
»
Building Tachyon Master Branch
17 October 2015
»
Creating Applications using Spark Streaming
16 October 2015
»
Creating a Spark Applications
15 October 2015
»
Working with RDD Operations
9 October 2015
»
BlinkDB Review
2 October 2015
»
Sparrow Paper Review
1 October 2015
»
Spark Architecture Shuffle
30 September 2015
»
Explore In-Memory Data Store Tachyon
29 September 2015
»
Tachyon Overview
24 September 2015
»
AMP Camp 6
23 September 2015
»
Spark 1.5 DataFrame API Highlights
12 September 2015
»
Project Tungsten
8 September 2015
»
SparkR Setting for RStudio
7 September 2015
»
SparkR
5 September 2015
»
Spark Lab 3
4 September 2015
»
Spark Lab 2
3 September 2015
»
Diving into Spark Streaming's Execution Model
19 June 2015
»
Lambda Architecture
10 June 2015
»
Zeppelin Tutorial
9 June 2015
»
Introduction to Data Science with Apache Spark
7 June 2015
»
The Internet of Things Transforms Transactions with Apache Spark
6 June 2015
»
Improving Spark for Data Pipelines with Native YARN Integration
6 June 2015
»
BlinkDB User Guide
30 May 2015
»
Recent performance improvements in Apache Spark
29 May 2015
»
Bringing Spark Closer to Bare Metal
25 May 2015
»
Data Exploration Using BlinkDB
24 May 2015
»
Programming With SampleClean
23 May 2015
»
SampleClean
23 May 2015
»
Running BlinkDB Locally
18 May 2015
»
Apache Spark - Caching and Checkpointing Under the Hood
28 April 2015
»
Introduction to BlinkDB
25 April 2015
»
Spark with Python Notebook on Mac
24 April 2015
»
Spark Notebook
24 April 2015
»
Spark-GPU Cluster Development in a Notebook
20 April 2015
»
Deep Dive into Spark SQL’s Catalyst Optimizer
19 April 2015
»
Introducing DataFrames in Spark for Large Scale Data Science
15 April 2015
»
Introduction to the Spark
14 April 2015
»
Big Spatial Data Processing using Spark
13 April 2015
»
SpatialSpark
12 April 2015
»
New Directions for Spark in 2015
11 April 2015
»
The Spark SQL Optimizer and External Data Sources API
9 April 2015
»
DataFrame and SQL Operations
8 April 2015
»
Design Patterns for using foreachRDD
7 April 2015
»
Output Operations on DStreams
6 April 2015
»
Transformations on DStreams
5 April 2015
»
DStream Sources
4 April 2015
»
Discretized Streams
3 April 2015
»
Spark Streaming Basic Concepts
2 April 2015
»
Spark Streaming Quick Example
1 April 2015
»
Spark Streaming Overview
sql on hadoop
12 March 2016
»
Lightning Fast Social Media Analytics
10 March 2016
»
Statistics-Driven OLAP Acceleration using Query Column Sets
28 February 2016
»
Apache Calcite Overview
17 February 2016
»
Zeppelin Tajo Interpreter
16 February 2016
»
Release Notes - Tajo - Version 0.11.1
30 November 2015
»
Rethinking SQL for Big Data with Apache Drill
9 October 2015
»
BlinkDB Review
24 September 2015
»
Approximate Aggregation Queries in Presto
19 September 2015
»
Using Presto to combine data from Hive and MySQL
19 June 2015
»
Apache MRQL Installation Instructions
18 June 2015
»
Common Misconceptions about SQL on Hadoop
18 June 2015
»
Apache MRQL
15 June 2015
»
Apache Drill Introduction
10 June 2015
»
Teradata Bets Big on Presto for Hadoop SQL
1 June 2015
»
Totally Lazy
1 June 2015
»
A SQL Query Compiler
28 May 2015
»
Best SQL-on-hadoop Tool
stream computing
27 March 2017
»
Wide & Deep Learning; Memorization + Generalization with TensorFlow
27 March 2017
»
Keynote - TensorFlow Dev Summit 2017
24 September 2015
»
Off-heap Memory in Apache Flink and the curious JIT compiler
18 August 2015
»
High-throughput, low-latency, and exactly-once stream processing with Apache Flink
23 June 2015
»
Overview of the Apache Flink
22 June 2015
»
Apache Flink Seminar
19 June 2015
»
Lambda Architecture
13 June 2014
»
Apache Storm Basics
13 April 2014
»
Processing streaming data in Hadoop with Apache Storm
28 March 2014
»
Navier-Stokes Equations
22 March 2014
»
Theory of Everything
5 March 2014
»
Facebook Presto
22 February 2014
»
The Real-Time Big Data Architecture (RTDBA) Stack
22 February 2014
»
The Five Phases of Real Time
11 February 2014
»
Big Data in Motion
7 February 2014
»
Continuous Quries Languages
6 February 2014
»
Semantics of Relations in Continuous Queries
5 February 2014
»
Continuous Quries as Views
28 January 2014
»
Continuous Query Semantics and Operators (Part II)
27 January 2014
»
Stream Windows
27 January 2014
»
Continuous Query Semantics and Operators (Part I)
26 January 2014
»
Writing Input And Output Adapters
26 January 2014
»
Stream Models
25 January 2014
»
Understanding Human Dynamics
22 January 2014
»
Esper Relational Database Adapter
21 January 2014
»
Event Rendering to XML and JSON
21 January 2014
»
Esper Socket Adapter
21 January 2014
»
Esper Adapter Concept
12 January 2014
»
Data Stream Management
11 January 2014
»
Physical Properties and selection of thermodynamic models
10 January 2014
»
Centrifugal Compressor Efficiency - Part 4
10 January 2014
»
Centrifugal Compressor Efficiency - Part 3
10 January 2014
»
Centrifugal Compressor Efficiency - Part 2
10 January 2014
»
Centrifugal Compressor Efficiency - Part 1
9 January 2014
»
In-Memory Caches
9 January 2014
»
Pattern Matching Techniques
4 January 2014
»
Monte-Carlo Methods An Introduction
3 January 2014
»
PRODML Data Schema and API Specifications
3 January 2014
»
The Invention of Stream Computing
3 January 2014
»
Real-time Operational Intelligence
2 January 2014
»
Introduction to Esper for Java
16 December 2013
»
Analyzing Data in Motion A Real-World View
11 December 2013
»
Stream Data Schema Design
11 December 2013
»
Introduction to Stream Computing
10 December 2013
»
Streams Application Design
10 December 2013
»
Filter pattern
9 December 2013
»
Streams design patterns
9 November 2013
»
Thermodynamics Basic Concepts
tez
6 August 2014
»
Understanding the world of SQL on Hadoop.
28 July 2014
»
Apache Tez Presentation
27 July 2014
»
Announcing Apache Pig 0.13.0
26 July 2014
»
Benchmarking Apache Hive 13 for Enterprise Hadoop
2 May 2014
»
The Stinger Initiative From HortonWorks With Hadoop
30 April 2014
»
Big Data & Brews - Ari Zilka, CTO of Hortonworks' Talk
27 April 2014
»
Comparing Apache Tez and Microsoft Dryad
27 April 2014
»
Apache Spark and Apache Tez
15 April 2014
»
Eight SQL on Hadoop Challenges
15 April 2014
»
11 SQL-on-Hadoop Tools
12 April 2014
»
Interactive Query for Hadoop with Apache Hive on Apache Tez
12 April 2014
»
Introducing Apache Tez 0.4
10 April 2014
»
Big Data Genomics Sequencing
6 April 2014
»
YARN Framework and Fault Tolerance
3 April 2014
»
Apache Tajo
3 April 2014
»
Build Instructions for Apache Tajo
12 March 2014
»
Hive on Tez
12 March 2014
»
Functional Requirements of Hive on Tez Phase I
12 March 2014
»
Query Planning of Hive on Tez
12 March 2014
»
Design of Hive on Tez
11 March 2014
»
Apache Tez 0.3 Released!
10 February 2014
»
Tez Design - Introduction
16 January 2014
»
Writing a Tez Input, Processor and Output
16 January 2014
»
Runtime API in Apache Tez
16 January 2014
»
Re-Using Containers in Apache Tez
16 January 2014
»
Introducing Tez Sessions
16 January 2014
»
Data Processing API in Apache Tez
16 January 2014
»
Apache Tez Dynamic Graph Reconfiguration
15 January 2014
»
Apache Tez A New Chapter in Hadoop Data Processing
14 January 2014
»
Introduction to the Tez
yarn
21 April 2016
»
Min-cost Flow Network Algorithms
20 April 2016
»
Elasticity with YARN
13 June 2015
»
Broadcast Join in Tajo
12 June 2015
»
Tajo Cluster Architecture
6 June 2015
»
Improving Spark for Data Pipelines with Native YARN Integration
4 May 2015
»
What is Mesos?
29 April 2015
»
FAQ for the REEF
27 April 2015
»
Introduction to REEF
11 February 2015
»
Application Interaction with the ResourceManager
10 February 2015
»
Resource Manager
9 February 2015
»
Build YARN Apps on Hadoop with Apache Slider
10 December 2014
»
Apache Hadoop YARN Architecture
1 June 2014
»
Apache Spark Resource Management and YARN App Models
16 May 2014
»
Development Tools for Big Data
15 May 2014
»
Apache Tajo JDBC Driver
14 May 2014
»
Apache Tajo HCatalog Integration
13 May 2014
»
Spark for Data Science; A Case Study
13 May 2014
»
Apache Tajo Backup and Restore
12 May 2014
»
Apache Tajo Table Partitioning
12 May 2014
»
An Insight into Hadoop Yarn Resource Manager
11 May 2014
»
Apache Tajo SequenceFile
10 May 2014
»
Apache Tajo Parquet
9 May 2014
»
How Apache Hadoop YARN HA Works
9 May 2014
»
Apache Tajo RCFile
8 May 2014
»
Apache Tajo Table Management
8 May 2014
»
Apache Tajo CSV (TextFile)
7 May 2014
»
Apache Tajo Functions
6 May 2014
»
Apache Tajo SQL Language
5 May 2014
»
Apache Tajo Shell
4 May 2014
»
Apache Tajo™ 0.8.0 Configuration
3 May 2014
»
Apache Tajo™ 0.8.0 Released!
3 May 2014
»
Apache Tajo™ 0.8.0 Documentation
2 May 2014
»
The Stinger Initiative From HortonWorks With Hadoop
28 April 2014
»
Simple YARN Application
20 April 2014
»
Apache Hadoop YARN – Related Work
7 April 2014
»
Failures in YARN
7 April 2014
»
Failures in Classic MapReduce
6 April 2014
»
YARN Framework and Fault Tolerance
4 April 2014
»
Apache Hadoop YARN – Node Manager (NM)
2 April 2014
»
Apache Hadoop YARN – Application Master (AM)
2 April 2014
»
Apache Hadoop in 2013 - The State of the Platform
31 March 2014
»
Apache Hadoop YARN – Architecture Overview
31 March 2014
»
Apache Hadoop YARN – Resource Manager (RM)
30 March 2014
»
Apache Hadoop YARN – History and Rationale, Shared Clusters
3 March 2014
»
Apache Hadoop YARN – History and Rationale
1 March 2014
»
Apache Hadoop YARN – ResourceManager
1 March 2014
»
Apache Hadoop YARN – Yet Another Resource Negotiator
1 March 2014
»
Apache Hadoop YARN – NodeManager
28 February 2014
»
Apache Hadoop YARN – Concepts and Applications
28 February 2014
»
Apache Hadoop YARN – Background and Overview
28 February 2014
»
Introducing Apache Hadoop YARN
12 December 2013
»
YARN (MapReduce 2)
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