mathfoundations
Calculus and analysis
Derivatives, gradients, integrals, and their role in training ML models via gradient descent.
Уровни глубины
L0Intro~3ч
Understands derivatives as rates of change; can compute simple derivatives by hand.
L1Basics~15ч
Applies chain rule, partial derivatives, basic integration; computes gradients of simple loss functions.
L2Working~20ч
Uses Jacobians, Hessians; derives backprop step from first principles; applies numerical differentiation.
L3Advanced~40ч
Analyses convergence with smoothness/Lipschitz conditions; applies functional analysis to variational methods.
L4Research~80ч
Works with measure theory, optimal transport, or differential geometry in ML.
Ресурсы
L1 — Basics