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
He is currently an associate 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)
Course Duration : Jan-Apr 2017
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Enrollment : 01-Jan-2017 to 23-Jan-2017
Exam registration : 15-Feb-2017 to 27-Mar-2017
Exam Date : 23-Apr-2017
Enrolled
8929
Registered
125
Certificate Eligible
50
Certified Category Count
Gold
0
Silver
0
Elite
4
Successfully completed
46
Participation
40
Success
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Category : Successfully Completed
Elite
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Category : Elite
Gold
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Category : Gold
Legend
>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate
Final Score Calculation Logic
- Assignment Score = Average of best 8 out of 14 assignments.
- Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
- Note: Assignment 13,14 are programming assignments
Introduction to Machine Learning - Toppers list
Enrollment Statistics
Total Enrollment: 8929
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