Created byBalaraman Ravindran
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Last date for enrollment: January 22, 2018
ABOUT THE COURSE
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.
This is an elective course. Intended for senior UG/PG students. BE/ME/MS/PhD
To access the content, please enroll in the course.
Course Syllabus & Schedule