arXiv Open Access 2021

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

Viviana Acquaviva

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Abstrak

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.

Topik & Kata Kunci

physics.ed-ph

Penulis (1)

Viviana Acquaviva

Format Sitasi

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Acquaviva, V. (2021). Teaching Machine Learning for the Physical Sciences: A summary of lessons learned and challenges. https://arxiv.org/abs/2108.08313

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Informasi Jurnal

Tahun Terbit: 2021
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓