BLU 603E - Statistical Learning

Course Objectives

1) To teach methods and techniques for statistical learning.
2) To teach relation between statistical learning and information theory.

Course Description

Statistical learning techniques become increasingly common in all areas of informatics thanks to advances in computational power. This PhD level course is aimed at exposing the student to methods and techniques in statistical learning literature with an insight on the relation between information theory and statistical learning. The course covers topics as diverse as entropy, clustering, regression, unsupervised - reinforcement learning, neural networks and de-convolution.