Difference between revisions of "Syllabus for Machine Learning with Large Datasets 10-605 in Spring 2014"

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* Mon Feb 24. [[Class meeting for 10-605 SGD for MF 2 and Randomized Algorithms|SGD for Matrix Factorization, and Randomized Algorithms]]
 
* Mon Feb 24. [[Class meeting for 10-605 SGD for MF 2 and Randomized Algorithms|SGD for Matrix Factorization, and Randomized Algorithms]]
 
** '''Streaming run on Hadoop of Naive Bayes due'''  
 
** '''Streaming run on Hadoop of Naive Bayes due'''  
* Wed Feb 26. [[Class meeting for 10-605 Graphs 2|Graphs computations 2]]
+
* Wed Feb 26. [[Class meeting for 10-605 Graphs 2|Randomized Algorithms]]
 
* Fri Feb 28.
 
* Fri Feb 28.
 
** '''Non-streaming run on Hadoop of Naive Bayes due.'''
 
** '''Non-streaming run on Hadoop of Naive Bayes due.'''

Revision as of 11:29, 24 February 2014

This is the syllabus for Machine Learning with Large Datasets 10-605 in Spring 2014.

Notes:

  • The assignments are from 2013, and will be modified over the course of the semester - some may be changed substantially.
  • Lecture notes will be posted around the time of the lectures.

January

February

March

April and May