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Appendix A: Miscellaneous Resources

This appendix collects assorted references and curiosities that pair well with this course. Items are grouped by theme; brief annotations indicate how you might use each link. Some links may require institutional access or sign-in.


Probability, Geometry, and Visualization

Statistical Learning, Surrogates, and Bayesian Modeling

Symbolic Regression and Scientific ML

Molecules, Materials, and Structure Prediction

Geometry, Proof Automation, and “AI doing math”

Notable papers and commentary (with DOIs where available)

AI for Teaching and Policy (instructor resources)

Numerical Computing, Style, and Supplemental Texts

Media, Playlists, and Miscellany

Course-adjacent and access-limited items


Notes

References
  1. Hicks, M. T., Humphries, J., & Slater, J. (2024). ChatGPT is bullshit. Ethics and Information Technology, 26(2). 10.1007/s10676-024-09775-5