MIT 9.520: Statistical Learning Theory and Applications

The course covers foundations and recent advances of Machine Learning from the point of view of Statistical Learning and Regularization Theory. The goal of this course is to provide students with the theoretical knowledge and the basic intuitions needed to use and develop effective machine learning solutions to challenging problems.