10-601 Naive Bayes

From Cohen Courses
Revision as of 15:33, 9 September 2013 by Wcohen (talk | contribs) (→‎Slides)
Jump to navigationJump to search

This a lecture used in the Syllabus for Machine Learning 10-601

Slides and Other Materials

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