Difference between revisions of "10-601 Naive Bayes"
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This a lecture used in the [[Syllabus for Machine Learning 10-601]] | This a lecture used in the [[Syllabus for Machine Learning 10-601]] | ||
| − | === Slides === | + | === Slides and Other Materials === |
* [http://www.cs.cmu.edu/~wcohen/10-601/nb.pptx Slides in Powerpoint]. | * [http://www.cs.cmu.edu/~wcohen/10-601/nb.pptx Slides in Powerpoint]. | ||
| + | * I did some examples in Matlab: | ||
| + | ** [[jointDistCommands.m|A joint distribution for a die-rolling problem.]] | ||
=== Readings === | === Readings === | ||
Revision as of 14:33, 9 September 2013
This a lecture used in the Syllabus for Machine Learning 10-601
Slides and Other Materials
- Slides in Powerpoint.
- I did some examples in Matlab:
Readings
- Mitchell 6.1-6.10
What You Should Know Afterward
- How to implement the multinomial Naive Bayes algorithm
- How to interpret the predictions made by the algorithm
