Kursinformation

Introduction to machine learning techniques. Graphical models, latent variable models, dimensionality reduction techniques, statistical learning, regression, kernel methods, state space models, HMMs, MCMC. We will also cover modern AI methods such as deep learning method, automated differentiation, and variational autoencoders. Emphasis is on applying these techniques to real data in a variety of application areas.