Difference between revisions of "Class meeting for 10-605 Phrases with Stream and Sort"

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This is one of the class meetings on the [[Syllabus for Machine Learning with Large Datasets 10-605 in Spring 2014|schedule]] for the course [[Machine Learning with Large Datasets 10-605 in Spring_2014]].
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This is one of the class meetings on the [[Syllabus for Machine Learning with Large Datasets 10-605 in Fall 2015|schedule]] for the course [[Machine Learning with Large Datasets 10-605 in Fall_2015]].
  
 
=== Slides ===
 
=== Slides ===
  
* [http://www.cs.cmu.edu/~wcohen/10-605/2013/2013-02-06-mapreduce.ppt Slides in Powerpoint] - draft
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Phrases using stream-and-sort algorithm; naive-bayes testing using stream-and-sort; and abstractions:
  
=== Readings for the Class ===
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* [http://www.cs.cmu.edu/~wcohen/10-605/b2_phrases.pptx Slides in Powerpoint], [http://www.cs.cmu.edu/~wcohen/10-605/b2_phrases.pdf Slides in PDF]
* None
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=== Readings ===
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* Optional: [http://research.microsoft.com/en-us/um/people/manik/pubs/jose13.pdf C. Jose, P. Goyal, P. Aggrwal and M. Varma. Local deep kernel learning for efficient non-linear SVM prediction.] In Proceedings of the International Conference on Machine Learning, Atlanta, Georgia, June 2013.
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=== Things to Remember ===
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* Dataflow operations: map, filter, flatten, group, and join.

Latest revision as of 16:11, 14 October 2015

This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-605 in Fall_2015.

Slides

Phrases using stream-and-sort algorithm; naive-bayes testing using stream-and-sort; and abstractions:

Readings

Things to Remember

  • Dataflow operations: map, filter, flatten, group, and join.