This lecture covers:

This lecture covers the Gaussian Discriminant classifier and the Naive Bayes Classifier.

The third lecture covers the following topics (except where noted):

This lecture covers:

This first lecture starts out with some logistics for the class. The real material starts at about [31:40], but I’d recommend watching it all anyway because he does give you a feel for his goals for the class, as well as mention some applications of machine learning in use today. The material for this lecture is just to provide you an overview of the major topics that the course will cover.