Difference between revisions of "10-601 Naive Bayes"
From Cohen Courses
Jump to navigationJump to search| Line 12: | Line 12: | ||
* Mitchell 6.1-6.10 | * Mitchell 6.1-6.10 | ||
| + | * [https://code.google.com/p/yagtom/ My favorite on-line Matlab docs] | ||
=== What You Should Know Afterward === | === What You Should Know Afterward === | ||
Revision as of 14:45, 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
- My favorite on-line Matlab docs
What You Should Know Afterward
- How to implement the multinomial Naive Bayes algorithm
- How to interpret the predictions made by the algorithm
