Difference between revisions of "10-601 Naive Bayes"
From Cohen Courses
Jump to navigationJump to search| Line 2: | Line 2: | ||
=== Slides and Other Materials === | === Slides and Other Materials === | ||
| − | + | * Ziv's lecture: [http://www.cs.cmu.edu/~zivbj/classF14/NB.pdf Slides in pdf]. | |
* [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: | * I did some examples in Matlab: | ||
Revision as of 14:59, 9 September 2014
This a lecture used in the Syllabus for Machine Learning 10-601 in Fall 2014
Slides and Other Materials
- Ziv's lecture: Slides in pdf.
- 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
