9.520/6.860, Class 03

Class 03: Regularized Least Squares

Instructor: Lorenzo Rosasco


We go from Ordinary Least Squares to Ridge Regression, viewed in two different ways, and discuss regularization and bias.


Slides for this lecture: PDF

Class Reference Material

L. Rosasco, T. Poggio, Machine Learning: a Regularization Approach, MIT-9.520 Lectures Notes, Manuscript, Dec. 2017

Chapter 4 - Regularization Networks

Note: The course notes, in the form of the circulated book draft is the reference material for this class. Related and older material can be accessed through previous year offerings of the course.

Further Reading