We are working to establish a regular course about modern data science methods for physics. This course will summarize the many ways in which Machine Learning is used in physics such as simulations with generative models, likelihood-free inference and uncertainty quantification with Bayesian neural networks.

Until then, we recommend Gary Shiu’s recent class on collider physics, which emphasized Machine Learning methods.