's course
50.021/EMV-F is a course offered by Professor Jacob at NUS that covers essential material in Machine Learning and Variational Inference. The course introduces students to the fundamental principles of both fields addressing topics such as classifiers, linear models, logistic regression, neural networks, Bayesian inference, and Markov chain Monte Carlo methods. Practical aspects are covered, including model selection strategies, regularization, deep learning, and combining generative and discriminative models. The course also explores probabilistic graphical models and their applications.