Lecture
This lecture covers the concepts of generative learning, generation models, class priors, features, and decision rules. It also discusses the maximum likelihood estimation, logistic regression, Gaussian discriminant analysis, and multivariate normal distribution. The instructor explains how to estimate directly from data and use generative models for classification.