This lecture covers the concept of multiclass classification, focusing on linear classification with more than two classes. It explains the approach of one-vs-rest and one-vs-one for handling multiple classes, and introduces multi-class logistic regression. The lecture also discusses the challenges of linearly separating data when the classes are not easily distinguishable.