Difference between revisions of "10-601 Naive Bayes"
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=== Slides === | === Slides === | ||
| − | * [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]. |
=== Readings === | === Readings === | ||
Revision as of 14:31, 9 September 2013
This a lecture used in the Syllabus for Machine Learning 10-601
Slides
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
