Teaching Machine Learning for the Physical Sciences: A summary of lessons learned and challenges
英文摘要:
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.
机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。