10-601 Naive Bayes

This a lecture used in the Syllabus for Machine Learning 10-601 in Spring 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:
  • A joint distribution for a die-rolling problem.
  • The roll subroutine used here - an example of vectorized code.
  • Examples of another joint distribution.

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