Difference between revisions of "10-601 Naive Bayes"
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* Mitchell 6.1-6.10 | * Mitchell 6.1-6.10 | ||
| + | * Murphy 3 | ||
* [https://code.google.com/p/yagtom/ My favorite on-line Matlab docs] | * [https://code.google.com/p/yagtom/ My favorite on-line Matlab docs] | ||
Revision as of 14:07, 19 January 2016
This a lecture used in the Syllabus for Machine Learning 10-601B in Spring 2016
Slides and Other Materials
- William's lecture: Slides in Powerpoint
- I did some examples in Matlab:
Readings
- Mitchell 6.1-6.10
- Murphy 3
- 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
