Introduction to supervised machine learning for physics students
We discuss a simple supervised machine learning algorithm using logistic regression to classify phases in the Ising model of magnetization and the trajectories of a particle subject to either a spring or a gravitational force. Several pedagogical problems are provided as a means to introduce students to the basic ideas of machine learning.
Authors
- Harvey Gould (ORCID: https://orcid.org/0000-0002-2868-4577)
- Jan Tobochnik (ORCID: https://orcid.org/0000-0002-8715-0014)
Institutions
- Clark University (US)
- Kalamazoo College (US)
Publication Details
- Journal
- American Journal of Physics
- Published
- 2026-02-19
- DOI
- https://doi.org/10.1119/5.0285290
- Primary Topic
- Computational Physics and Python Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00