Difference between revisions of "Class meeting for 10-605 Phrases with Stream and Sort"
From Cohen Courses
Jump to navigationJump to search (Created page with "This is one of the class meetings on the schedule for the course Machine Learning with Large Data...") |
|||
(26 intermediate revisions by the same user not shown) | |||
Line 1: | Line 1: | ||
− | 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.