Book Review: Andrew McAfee and Erik Brynjolfsson's "The Second Machine Age" by Posted on Feb 24, 2017
Real-World, Man-Machine Algorithms by Posted on Feb 16, 2017
Anomaly Detection for Time Series Data with Deep Learning by Posted on Feb 11, 2017
Practicing Machine Learning with Optimism by Posted on Feb 02, 2017
Introduction to Machine Learning with Python by Posted on Jan 28, 2017
An Introduction to Differential Privacy by Posted on Jan 22, 2017
Peter Cnudde on How Yahoo Uses Hadoop, Deep Learning and Big Data Platform by Posted on Oct 13, 2016
Spark GraphX in Action Book Review and Interview by Posted on Sep 12, 2016
Spark in Action Book Review & Interview by Posted on Mar 18, 2016
Will AI Surpass Human Intelligence? Interview with Prof. Jürgen Schmidhuber on Deep Learning by 5 Posted on Mar 08, 2016
Health Informatics and Survival Prediction of Cancer with Apache Spark Machine Learning Library by Posted on Dec 22, 2015
The Morning Paper Issue 3 - Computer Science Applied
Adrian Colyer reviews five computer science papers which cover DBSherlock, how Google organises datasets, relaxing the majority quorum requirement in the Paxos Consensus algorithm, the key paper Netflix first looked to for principles on which to build its cloud architecture, and decomposing systems in modules.
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The Morning Paper Quarterly Review Issue 2
A summary of five CS papers chosen from the 55 that Adrian Colyer has reviewed for his Morning Paper blog during Q2 2016. Amongst the five papers in the magazine Colyer takes a look at how Facebook collect and analyse over 1 trillion data points per day across 2 billion unique time series, and the technology behind bots on Q&A systems like Siri, Cortana, Alexa et al.
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John Langford on Vowpal Wabbit, Used by MSN, and Machine Learning in Industry
Aug 19, 2016
Machine learning research scientist John Langford talks to QCon chair Wesley Reisz about his ML system Vowpal Wabbit used for news personalisation on MSN. They also discuss how to get started in the field and its shift from academic research to industry use.