Difference between revisions of "Class meeting for 10-605 2012 02 16"
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| − | === Optional readings | + | === 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. | * 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.
