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

Jun 28, 2021 (edited Aug 18, 2021)ECMLPKDD 2021 Workshop TeachML Blind SubmissionReaders: Everyone
  • 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.
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