Difference between revisions of "Syllabus for Machine Learning with Large Datasets 10-605 in Spring 2012"

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** '''Assignment due: Subsampling and visualizing a graph.'''
 
** '''Assignment due: Subsampling and visualizing a graph.'''
 
** ''New Assignment: mini-project proposals (final version)''
 
** ''New Assignment: mini-project proposals (final version)''
* Thus Mar 29. Understanding spectral clustering techniques.
+
* Thus Mar 29. [[Class meeting for 10-605 2012 03 29|Understanding spectral clustering techniques.]]
 
** '''Assignment due: mini-project proposals (final version).'''
 
** '''Assignment due: mini-project proposals (final version).'''
  

Revision as of 15:40, 29 March 2012

This is the syllabus for Machine Learning with Large Datasets 10-605 in Spring 2012.

January

February

March

April

  • Tues Apr 3. LDA-like models for text and graphs.
  • Thus Apr 5. Tentative: Guest lecture by U Kang, CMU.
  • Tues Apr 10. Speeding up LDA-like models: sampling and parallelization
  • Thus Apr 12. Fast KNN and similarity joins 1.
  • Tues Apr 17. Fast KNN and similarity joins 2.
  • Thus Apr 19. no class - Carnival
  • Tues Apr 24. Online LDA
  • Thus Apr 26. TBD.

May

  • Tues May 1. Project reports.
  • Thus May 3. Project reports.