Advanced Machine Learning

Catalog description

Review of fundamentals of machine learning, classification and regression, unsupervised learning, SLT, support vector machines, kernels, gaussian processes and deep learning. Introduction to Bayes networks, mixture, latent, and Markov models, techniques of variational inference, modern clustering, and latent variable models.