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Adaptive Machine Learning for Real-Time Streaming

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23 January 2017


Adaptive Machine Learning for Real-Time Streaming

Abstract

Direct processing of real-time data can provide a crucial edge in the software-and-services industry. Combining such processing with machine learning can provide a reasoning flow and enable runtime updates of the machine-learning model. Customer scenarios in manufacturing and IT services will benefit.

Adaptive Learning: The Next Generation of Machine Intelligence

Abstract

Adaptive learning optimizes both human and machine learning, to maximize the accuracy of scalable data processing as efficiently as possible. For the auto-industry, adaptive learning is 95% accurate in predicting when social media communications are about purchasing cars, which correlates with actual monthly car sales for the majority models of cars we have investigated.

About the speaker:

Rob drives the Idibon’s vision and strategic direction. He is a leader in applying big data analytics to human communications, having worked in diverse environments, from Sierra Leone, Haiti and the Amazon to London, Sydney and San Francisco. He completed a PhD in Computational Linguistics as a Graduate Fellow at Stanford University. Outside of work, he learned about the world’s diversity by cycling more than 20,000 kilometers across 20 countries.

Adaptive learning rates for each connection

Lecture from the course Neural Networks for Machine Learning, as taught by Geoffrey Hinton (University of Toronto) on Coursera in 2012.


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