This lecture series is designed as a practical introduction to machine learning, for physicists and anyone with a similar background (engineers,mathematicians,chemists,…). I have given these lectures since 2017, almost every year. Videos are available on youtube (see below, most recent version from 2019). Slides and homework problems and tutorial code is available as well.

For the most recent versions of the course, please follow the links:

https://pad.gwdg.de/s/Machine_Learning_For_Physicists_2023

2024 version (in progress): https://pad.gwdg.de/s/ZwIoM-Arn

Note that as of 2024 we have switched from tensorflow/keras to jax, which we believe to be very useful for physicists, since it is essentially numpy with a handful of additions.