Mathematics

Study the calculus, linear algebra, probability, and statistics used in machine learning.

Cover matrix fundamentals, subspaces, projections, spectral structure, and decomposition.

9 items · 150 min

Cover single-variable foundations, multivariable differentiation, approximation, and optimization.

8 items · 120 min

Move from events and conditioning through moments, distributions, and asymptotic results.

12 items · 130 min

Cover estimators, likelihood, Bayesian updating, intervals, tests, and simple regression.

10 items · 130 min