Difference between revisions of "10-601 Naive Bayes"
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| − | This a lecture used in the [[Syllabus for Machine Learning 10-601 in | + | This a lecture used in the [[Syllabus for Machine Learning 10-601 in Sprint 2016]] |
=== Slides and Other Materials === | === Slides and Other Materials === | ||
Revision as of 14:26, 6 January 2016
This a lecture used in the Syllabus for Machine Learning 10-601 in Sprint 2016
Slides and Other Materials
- Ziv's lecture: Slides in pdf.
- William's lecture: Slides in Powerpoint, in PDF
- I did some examples in Matlab:
Readings
- Mitchell 6.1-6.10
- My favorite on-line Matlab docs
What You Should Know Afterward
- What conditional independence means
- How to implement the multinomial Naive Bayes algorithm
- How to interpret the predictions made by the NB algorithm
