Machine Learning

CS 5350/6350, Fall 2019

The Naive Bayes Classifier

In this lecture, we will see the popular naive Bayes classifier and its decision boundary. We will work through examples that illustrate maximum likelihood learning with the naive Bayes assumption. Then we will see a few practical aspects to keep in mind when training a model with the assumption.

This will take us on a discussion about generative and discriminative models.