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Course Description

In this machine learning course we will introduce some of the basic concepts of machine learning from a mathematically well motivated perspective. We will cover the different machine learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms.

Beginner Level

Time: 35h

Instructor Details

Dr. Balaraman Ravindran

Prof. Balaraman Ravindran completed his Ph.D. at the Department of Computer Science, University of Massachusetts, Amherst. He worked with Prof. Andrew G. Barto on an algebraic framework for abstraction in Reinforcement Learning. Dr. Ravindrans current research interests spans the broader area of machine learning