Linear Algebra Crash Course
Spaces, vector and matrix inner products, matrix functions, eigendecomposition
Supplemental Material
Multivariate Calculus
Gradient, directional derivative, Hessian, Taylor expansion
Probability and statistics: a survival guide
Random variables and vectors, statistical estimation