The main emphasis is to give you a short and pedestrian introduction to the whys and hows we can use (with several examples) machine learning methods in physics. And why this could (or should) be of interest. I will also try to link to educational activities if time.

These slides are at https://mhjensenseminars.github.io/MachineLearningTalk/doc/pub/UAutonomaMadrid/html/UAutonomaMadrid-reveal.html

• Parts of the talk based on Machine Learning in Nuclear Physics, Amber Boehnlein et al., Reviews Modern of Physics 94, (2022)
• See also Predicting solid state material platforms for quantum technologies Oliver L. Hebnes et al, Nature Materials Communications, (2022).