Introduction to Machine Learning (Tamil)

By Prof. Arun Rajkumar | IIT Madras

Learners enrolled: 6434 | Exam registration: 1036

ABOUT THE COURSE:
A short course introducing the main ideas and algorithms of Machine Learning. 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. The course will be delivered in spoken Tamil while the technical terms discussed/exams/assignments will be in English.

INTENDED AUDIENCE: Native Tamil speaking audience (Teachers/ Undergraduate Students)

PREREQUISITES: A basic course in linear algebra/probability/programming/algorithms would be a big plus. These are not strong pre-requisites.

INDUSTRY SUPPORT: All Data centric companies including those that have core business in search/e-commerce/social-media

Summary

Course Status :	Ongoing
Course Type :	Elective
Duration :	8 weeks
Category :	Computer Science and Engineering
Credit Points :	2
Level :	Undergraduate/Postgraduate
Start Date :	22 Jul 2024
End Date :	13 Sep 2024
Enrollment Ends :	05 Aug 2024
Exam Registration Ends :	16 Aug 2024
Exam Date :	21 Sep 2024 IST

Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.

Page Visits

Course layout

Week 1: Basics of Linear Algebra, Probability, Optimization

Week 2: Introduction to Supervised Learning - Regression; Topics - Linear Regression; Ridge Regression; LASSO

Week 3: Supervised Learning - Classification; Topics: K-NN, Decision Tree.

Week 4: Supervised Learning - Classification; Topics: Naive Bayes.

Week 5: Supervised Learning - Logistic Regression ,Perceptron.

Week 6: Supervised Learning - Support Vector Machines

Week 7: Supervised Learning - Ensemble Methods

Week 8: Unsupervised Learning - K-means Clustering, PCA

Books and references

Mathematics for Machine Learning by Deisenroth, Faisal and Ong.

https://mml-book.github.io/book/mml-book.pdf

Instructor bio

Prof. Arun Rajkumar

IIT Madras

Prof. Arun Rajkumar is currently an Assistant Professor at the Computer Science and Engineering department of IIT Madras. Prior to joining IIT Madras, he was a research scientist at the Xerox Research Center (now Conduent Labs), Bangalore for three years. He earned his Ph.D from the Indian Institute of Science where he worked on ‘Ranking from Pairwise Comparisons’.

Course certificate

The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
Date and Time of Exams: 21 September 2024 Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
Registration url: Announcements will be made when the registration form is open for registrations.
The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of average of best 6 assignments out of the total 8 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Madras. It will be e-verifiable at nptel.ac.in/noc.

Only the e-certificate will be made available. Hard copies will not be dispatched.

Once again, thanks for your interest in our online courses and certification. Happy learning.

- NPTEL team

SWAYAM Helpline / Support