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This is one of the class meetings on the [[Syllabus for Machine Learning with Large Datasets 10-605 in Spring 2013|schedule]] for the course [[Machine Learning with Large Datasets 10-605 in Spring_2013]]. === Slides === * Map-reduce-like frameworks and wrappers ** [http://www.cs.cmu.edu/~wcohen/10-605/2013/2013-02-13-hadoop+.pptx Slides in Powerpoint] * Stochastic gradient descent for logistic regression ** [http://www.cs.cmu.edu/~wcohen/10-605/2013/2013-02-13-sgd.pptx Slides in Powerpoint] === Readings for the Class === * [http://www.dataspora.com/2011/04/pigs-bees-and-elephants-a-comparison-of-eight-mapreduce-languages/ Pigs Bees and Elephants] (web page) * [http://www.cs.cmu.edu/~wcohen/10-605/notes/sgd-notes.pdf William's notes on SGD] * [http://lingpipe.files.wordpress.com/2008/04/lazysgdregression.pdf Lazy Sparse Stochastic Gradient Descent for Regularized Multinomial Logistic Regression], Carpenter, Bob. 2008. See also [http://alias-i.com/lingpipe/demos/tutorial/logistic-regression/read-me.html his blog post] on logistic regression. === Optional readings === * I also recommend [http://www.cs.cmu.edu/~wcohen/10-605/notes/elkan-logreg.pdf Charles Elkan's notes on logistic regression] (local saved copy).

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