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 | + | 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 === | ||
| − | + | Phrases using stream-and-sort algorithm; naive-bayes testing using stream-and-sort; and abstractions: | |
| − | === Readings for the | + | * [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 === | ||
| + | |||
| + | * 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. | ||
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.
