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physics_for_ml.md

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Physics For ML

labels: publication, education, curriculum

i mentioned in eleuther that I felt physics should be part of the ML curriculum. thought it might be interesting to collect some notes on what a curriculum/textbook/course on the topic might cover.

  • Fourier analysis
  • harmonic oscillators
  • Group Theory
  • Category theory
  • tensor calculus, einsum notation
  • relativity
  • quantum mechanics
  • gauge theory
  • forces <-> invariants
  • ODEs, PDEs, dynamics
  • diffusion processes, heat equation
  • brownian motion
  • optimization with annealing
  • ...something involving interpreting eigenvectors
  • curvature
  • manifolds
  • probability fields

related: introductory geometry curriculum reorganized to start with notions of distance, similarity, measure.

..lol see also: https://github.com/dmarx/bench-warmers/blob/main/the_shape_of_data.md