Difference between revisions of "10-601 Naive Bayes"
From Cohen Courses
Jump to navigationJump to search (→Slides) |
|||
| Line 3: | Line 3: | ||
=== 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 15:31, 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
