Course abstract
With the increased availability of data from varied sources there has been increasing attention paid to the various data driven disciplines such as analytics and machine learning. In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms.
Course Instructor
Prof. Balaraman Ravindran
Prof. Balaraman Ravindran is currently a Professor in Computer Science at IIT Madras. He has nearly two decades of research experience in machine learning and specifically reinforcement learning. Currently his research interests are centered on learning from and through interactions and span the areas of data mining, social network analysis, and reinforcement learning.More info
Teaching Assistant(s)
No teaching assistant data available for this course yetCourse Duration : Jan-Apr 2022
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Enrollment : 14-Nov-2021 to 31-Jan-2022
Exam registration : 13-Dec-2021 to 18-Mar-2022
Exam Date : 24-Apr-2022
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