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

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

Date Posted: 

May 30, 2014

Date Recorded: 

May 30, 2014

CBMM Speaker(s): 

  • All Captioned Videos
  • Brains, Minds and Machines Summer Course 2014

Associated CBMM Pages: 

Description: 

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

Associated Research Thrust: