Difference between revisions of "Class meeting for 10-605 Phrases with Stream and Sort"
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=== Slides === | === Slides === | ||
− | Phrases using stream-and-sort algorithm: | + | Phrases using stream-and-sort algorithm; naive-bayes testing using stream-and-sort; and abstractions: |
− | * [http://www.cs.cmu.edu/~wcohen/10-605/b2_phrases.pptx Slides in Powerpoint], | + | * [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] |
− | + | === 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. | |
− | + | === Things to Remember === | |
− | + | * Dataflow operations: map, filter, flatten, group, and join. | |
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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
- Optional: 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.
Things to Remember
- Dataflow operations: map, filter, flatten, group, and join.