Teaching Machine Learning for the Physical Sciences:A summary of lessons learned and challenges

Viviana Acquaviva

Keywords: Machine Learning, Physics, Astronomy, Education

TL;DR: This papers summarizes some challenges encountered and best practices established in teaching ML to Physics students

Abstract: This paper summarizes some challenges encountered and best practices established in several years of teaching Machine Learning for the Physical Sciences at the undergraduate and graduate level. I discuss motivations for teaching ML to Physicists, desirable properties of pedagogical materials such as accessibility, relevance, and likeness to real-world research problems, and give examples of components of teaching units.