IIT Madras Offers Free Online Course on Machine Learning in English and Tamil

IIT Madras has offered a free online course on machine learning for students in both English and Hindi on the NPTEL platform

IIT Madras is currently accepting applications for a free online course called introduction to machine learning that can be taken up by students and professionals. The course is being offered in English and Tamil, and while the course in English is 12 weeks long, the course in Tamil is a shorter one that can be completed in 4 weeks. Upon successfully completing the courses and assignments, participants can obtain a certificate by paying Rs 1000 and clearing an exam to be held on 24 April 2022 for the English course and on 27 March 2022 for Tamil course.

The free online machine learning course in English will be conducted by Balaraman Ravindran who is currently a professor in Computer Science at IIT Madras and Mindtree Faculty Fellow . He has nearly two decades of research experience in machine learning and specifically reinforcement learning. The course is Tamil will be conducted by Arun Rajkumar who is currently an assistant professor in the department of computer science engineering at IIT Madras. His PhD thesis was in the area of machine learning and his broad research interests are in the areas of machine learning, and sequential decision making.

Who Can Take the IIT Madras Free Online Course on Machine Learning?

The courts can be taken up by teachers, and undergraduate and postgraduate students with a basic knowledge of linear algebra, probability, programming and algorithms. The goal of the course is to cover the topics at a high level so that it would act as a first course for a full fledged machine learning course. As fas as the course in Tamil is concerned, the course will be delivered in spoken Tamil while the technical terms discussed, exams or assignments will be in English.

What the IIT Madras Free Online Course on Machine Learning Will Cover?

The course will cover cthe different learning paradigms and some of the more popular algorithms and architectures used in machine learning. The course in English will cover the following topics:

Probability theory, linear algebra, and convex optimization.

Introduction: Statistical decision theory, regression, classification, or bias variance.

Linear regression, multivariate regression, subset selection, shrinkage methods, principal component regression, and partial least squares.

Decision trees, regression trees, stopping criterion and pruning loss functions, categorical attributes, multiway splits, missing values, decision trees - instability evaluation measures, and much more.

The course is Tamil will cover the following topics:

• Introduction to Supervised Learning - Regression; Topics - Linear Regression; Ridge Regression; LASSO.
• Supervised Learning - Classification; Topics: K-NN, Decision Tree, Naive Bayes, Logistic Regression.
• Supervised Learning - Classification; Topics: Perceptron, Support-Vector Machines, Introduction to Neural Networks.
• Unsupervised Learning - K-means Clustering, PCA

Those who wish to know more about the free online course on machine learning in English and Tamil are advised to go through the official website for further information.