Lectures related to Kernel Methods: Recap and Applications

Related lectures (32)

Covers nonparametric regression, scatterplot smoothing, kernel methods, and bias-variance tradeoff.

Explores data representations, overfitting, model selection, cross-validation, and imbalanced data challenges.