Deep Learning

Linear algebra: basic matrix operations, span, rank, range and null space, eigenvalue decomposition, singular value decomposition, pseudoinverse

Probability: independence, conditional probability, Bayes rule, multivariate Gaussian distribution, marginalization, expectation, variance