Difference between revisions of "Class meeting for 10-605 2012 02 16"

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* Map-reduce-like frameworks and wrappers
 
* Map-reduce-like frameworks and wrappers
 
** [http://www.cs.cmu.edu/~wcohen/10-605/2012-02-16-hadoop+.pptx Slides in Powerpoint]
 
** [http://www.cs.cmu.edu/~wcohen/10-605/2012-02-16-hadoop+.pptx Slides in Powerpoint]
** [http://www.cs.cmu.edu/~wcohen/10-605/2012-02-07-hadoop+.pdf Slides in PDF]
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** [http://www.cs.cmu.edu/~wcohen/10-605/2012-02-16-hadoop+.pdf Slides in PDF]
  
 
* Stochastic gradient descent for logistic regression
 
* Stochastic gradient descent for logistic regression
 
** [http://www.cs.cmu.edu/~wcohen/10-605/2012-02-16-sgd.pptx Slides in Powerpoint]
 
** [http://www.cs.cmu.edu/~wcohen/10-605/2012-02-16-sgd.pptx Slides in Powerpoint]
** [http://www.cs.cmu.edu/~wcohen/10-605/2012-02-07-sgd.pdf Slides in PDF]
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** [http://www.cs.cmu.edu/~wcohen/10-605/2012-02-16-sgd.pdf Slides in PDF]
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=== Readings for the Class ===
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* [http://www.dataspora.com/2011/04/pigs-bees-and-elephants-a-comparison-of-eight-mapreduce-languages/ Pigs Bees and Elephants] (web page)
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* [http://www.cs.cmu.edu/~wcohen/10-605/notes/sgd-notes.pdf William's notes on SGD]
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* [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.
  
  
=== Readings for the Class ===
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=== Optional readings ===
* TBD
 
  
=== Optional Readings ===
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* I also recommend [http://www.cs.cmu.edu/~wcohen/10-605/notes/elkan-logreg.pdf Charles Elkan's notes on logistic regression], a copy of which is saved here.
* TBD
 

Latest revision as of 10:38, 22 February 2012

This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-605 in Spring_2012.

Slides

Readings for the Class


Optional readings