Difference between revisions of "Class meeting for 10-605 Phrases with Stream and Sort"
From Cohen Courses
Jump to navigationJump to search (→Slides) |
|||
| Line 10: | Line 10: | ||
* 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. | * 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, and join. | ||
Revision as of 16:08, 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, and join.
