ABIR DE
Machine Learning for Non-CSE students (For CSE Minor Degree)

Course Description & Info

Welcome to "Introduction to Machine Learning 419(M)". This is a UG Minor course. You would be introduced about basic machine learning methods in this course. In particular, we will specifically focus on foundations on machine learning from somewhat formal viewpoint (but not too formal) and then will discuss how to apply those concepts to solve a real world problem.

There are no official prerequisites. However, those who have solid foundations on probability and linear algebra will find the content very easy to follow

The registration for the course is closed. I apologize to prospective students who are interested to take this course for not responding individually. I would suggest you may wish to take Foundations of Machine Learning course as an elective inthe next semester.
Jan 6 '21 — May 25 '21
Wednesdays, Fridays, 9.30 am to 10.55 am

Course Grading

Assignments
20% Weightage
Midsem
25% Weightage
Endsem
35% Weightage
Project
15% Weightage
Scribes
5% Weightage

Timeline

6th January -- 15th January
Reviews of basic maths, probabilities and linear algebra
20th January — 15th February
Regression, classification, clustering, ranking

Resources

Lecture Videos & PPTs



Books

Instructor

Teaching Assistants

Veerendrababu Vakkapatla
Nimesh Aggarwal
Ashish Aggarwal
Debabrata Biswal
Srijon Sarkar