Support Vector Machine and Logistic Regression

This lecture covers the concepts of support vector machine (SVM) and logistic regression in the context of machine learning classification tasks. It explains the importance of maximizing the margin for better generalization and minimizing the empirical risk on training data. The lecture also discusses the relationship between regression and classification tasks, highlighting the equivalence of solutions in the over-parameterization regime.