Difference between revisions of "Class meeting for 10-605 2012 02 16"
From Cohen Courses
Jump to navigationJump to search (Created page with 'This is one of the class meetings on the schedule for the course [[Machine Learning with Large Dataset…') |
|||
(3 intermediate revisions by the same user not shown) | |||
Line 5: | Line 5: | ||
* 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- | + | ** [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- | + | ** [http://www.cs.cmu.edu/~wcohen/10-605/2012-02-16-sgd.pdf Slides in PDF] |
+ | |||
+ | === 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], a copy of which is saved here. | |
− | * |
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
- Map-reduce-like frameworks and wrappers
- Stochastic gradient descent for logistic regression
Readings for the Class
- Pigs Bees and Elephants (web page)
- William's notes on SGD
- Lazy Sparse Stochastic Gradient Descent for Regularized Multinomial Logistic Regression, Carpenter, Bob. 2008. See also his blog post on logistic regression.
Optional readings
- I also recommend Charles Elkan's notes on logistic regression, a copy of which is saved here.