Lecture 16: Classification via logistic regression

Learning objectives

• Introduce the logistic regression model.

• Formulate the parameter estimation problem via maximum likelihood.

• Demonstrate the maximizing the likelihood is the same as minimizing the entropy loss.

• Introduce diagnostics for validating a logistic regression model.