Calculus, linear algebra, and probability: the tools every model is built from.
Start here if you want the math first, or come back to it from any later track. 3 paths · 20 explainers.
Derivatives, the chain rule, and the optimization math behind training
Vectors, tensors, eigenvalues, and the decompositions ML relies on
Distributions, Bayes, estimation, and information theory end to end