Optimization in Statistics and Machine Learning: Maximum Likelihood Estimation

This lecture covers Maximum Likelihood Estimation for distribution estimation, linear measurement models, logistic regression, and covariance estimation for Gaussian variables. It also delves into Support Vector Machines, both hard and soft margin, explaining the concepts and optimization problems involved.