Difference between revisions of "Class meeting for 10-605 Scalable Testing"
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Testing a large classifier: | Testing a large classifier: | ||
| − | * [http://www.cs.cmu.edu/~wcohen/10-605/a_nb-test.pptx Slides in Powerpoint] | + | * [http://www.cs.cmu.edu/~wcohen/10-605/a_nb-test.pptx Slides in Powerpoint], [http://www.cs.cmu.edu/~wcohen/10-605/a_nb-test.pdf Slides in Powerpoint] |
Another sample algorithm: | Another sample algorithm: | ||
| − | * [http://www.cs.cmu.edu/~wcohen/10-605/b_phrases.pptx Slides in Powerpoint] | + | * [http://www.cs.cmu.edu/~wcohen/10-605/b_phrases.pptx Slides in Powerpoint], [http://www.cs.cmu.edu/~wcohen/10-605/b_phrases.pdf Slides in PDF] |
Abstractions for map-reduce workflows: | Abstractions for map-reduce workflows: | ||
| − | * [http://www.cs.cmu.edu/~wcohen/10-605/c_abstractions.pptx Slides in Powerpoint] | + | * [http://www.cs.cmu.edu/~wcohen/10-605/c_abstractions.pptx Slides in Powerpoint], [http://www.cs.cmu.edu/~wcohen/10-605/c_abstractions.pptx Slides in PDF] |
=== Readings for the Class === | === Readings for the Class === | ||
Revision as of 16:05, 10 September 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
Testing a large classifier:
Another sample algorithm:
Abstractions for map-reduce workflows:
Readings for the Class
- Required: my notes on streaming and Naive Bayes
- Optional: Pig
