Bayesian Statistics for Machine Learning

The courses is for professionals and part of the programme MAISTR (hh.se/maistr) where participants can study the entire programme or individual courses. The course is part of the course track machine learning and is held online in English.

The course is broken down into:
Basic Bayesian concepts
Selecting priors, deriving some equations
Bayesian inference, Parametric model estimation
Sampling based methods
Sequential inference (Kalman filters, particle filters)
Approximate inference, variational inference
Model selection (missing data)
Bayesian deep neural networks