Lorenzo Rosasco: Learning Theory, Part 1 (local methods, bias-variance, cross validation) and Part 2 (regularization: linear least squares, kernel least squares)

Topics: Supervised learning, nearest neighbor methods and overfitting, k-nearest neighbors - choosing k, bias-variance tradeoff, cross validation, regularization, least squares, linear systems, computational complexity, kernel least squares using linear, polynomial, and Gaussian kernels