Cross-Validation

ML Math Derivations (20): Regularization and Model Selection

The series finale: from the bias-variance decomposition to L1/L2 geometry, dropout as a sub-network sampler, k-fold CV, AIC/BIC, VC bounds, and the modern double-descent phenomenon that broke classical theory.