Announcements

Lecture 6 materials uploaded

Oct 21

The materials for Lecture 6, Sequential Models, are now available: reference.

Lecture 5 materials uploaded

Oct 18

The materials for Lecture 5, Computer Vision, are now available: slides.

Lecture 4 materials uploaded

Oct 14

The materials for Lecture 4, Making Neural Networks Learn, are now available: slides.

Lecture 3 materials uploaded

Oct 14

The materials for Lecture 3, Building a Neural Network, are now available: reference 1 and reference 2.

Supplementary Lecture 1 materials uploaded

Sep 26

The materials for Supplementary Lecture 1, Python and Numpy Tutorial, are now available: interactive tutorial.

Lecture 2 materials uploaded

Sep 13

The materials for Lecture 2, How ML Models Learn, are now available: slides and notebook.

Lecture 1 materials uploaded

Sep 12

The materials for Lecture 1, Overview, are now available: slides and notebook.

Course announced

Aug 20

ML 101 is running in the First Semester of 2026-27, offered by SAiDL in collaboration with the Center for Technical Education.

1. The full twelve-lecture breakdown is up on the lectures page.
2. There are no prerequisites. Some Python helps, but we will share resources for picking it up, and no prior machine learning or deep learning experience is needed.
3. Lecture days, timings, and venue are still being finalised. Watch this page. Lectures are held on Wednesdays and Saturdays from 10–11 PM in DLT 7.