Difference between revisions of "Class meeting for 10-605 Scalable Testing"
From Cohen Courses
Jump to navigationJump to search (→Slides) |
|||
Line 3: | Line 3: | ||
=== Slides === | === Slides === | ||
+ | Testing a large classifier: | ||
* [http://www.cs.cmu.edu/~wcohen/10-605/nb-test.pptx Slides in Powerpoint] | * [http://www.cs.cmu.edu/~wcohen/10-605/nb-test.pptx Slides in Powerpoint] | ||
+ | |||
+ | Another sample algorithm: | ||
+ | * [http://www.cs.cmu.edu/~wcohen/10-605/phrases.pptx Slides in Powerpoint] | ||
+ | |||
+ | Abstractions for map-reduce workflows: | ||
+ | * [http://www.cs.cmu.edu/~wcohen/10-605/abstractions.pptx Slides in Powerpoint] | ||
=== Readings for the Class === | === Readings for the Class === | ||
* Required: [http://www.cs.cmu.edu/~wcohen/10-605/notes/scalable-nb-notes.pdf my notes on streaming and Naive Bayes] | * Required: [http://www.cs.cmu.edu/~wcohen/10-605/notes/scalable-nb-notes.pdf my notes on streaming and Naive Bayes] |
Revision as of 11:11, 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