Difference between revisions of "Class meeting for 10-605 Scalable Testing"
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− | 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 | + | 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 === | ||
− | * [http://www.cs.cmu.edu/~wcohen/10-605/ | + | Testing a large classifier: |
+ | * [http://www.cs.cmu.edu/~wcohen/10-605/a_nb-test.pptx Slides in Powerpoint], [http://www.cs.cmu.edu/~wcohen/10-605/a_nb-test.pdf Slides in PDF] | ||
+ | |||
+ | Another sample algorithm: | ||
+ | * [http://www.cs.cmu.edu/~wcohen/10-605/b_phrases.pptx Slides in Powerpoint], [http://www.cs.cmu.edu/~wcohen/10-605/b_phrases.pdf Slides in PDF] | ||
+ | |||
+ | Abstractions for map-reduce workflows: | ||
+ | * [http://www.cs.cmu.edu/~wcohen/10-605/c_abstractions.pptx Slides in Powerpoint], [http://www.cs.cmu.edu/~wcohen/10-605/c_abstractions.pptx Slides in PDF] | ||
=== 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] | ||
+ | * Optional: [http://hortonworks.com/hadoop-tutorial/how-to-process-data-with-apache-pig/ Pig] |
Latest revision as of 16:05, 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
- Optional: Pig