The course material is organised into two interactive Notebooks, where the participants can actively follow the instructors' examples, as well as explore the provided source code. In this repository, ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Learning Python is a smart move these days. It’s used everywhere, from making websites to crunching numbers. The good news? You don’t need to spend a fortune to get started. There are tons of great, ...