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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