Course slot: AB (Mon., Thu. 3:30-5:00)
Location: Bharti Room 425
Overview
With focus on the use of machine learning and deep learning techniques for understanding of tabular and multi-modal data.
The course will mostly consist of reading, presenting and critically examining important research publications in these areas, and one course project.
Prerequisites:
- machine learning and deep learning
- preferable to have some knowledge of one or more of:
- relational databases,
- computer vision and
- NLP
- some familiarity with data cleaning techniques would be helpful though not necessary.
Grading Scheme
Activity | Weight |
---|---|
Assignment 1 | 15% |
Presentations | 20% |
Reviews | 15% |
Project | 30% |
Major | 20% |
Course Material
- Slides (Accessible only within IITD)
NEWS / UPDATES
[4 August 2022]
First lecture - intro and motivation to the course.[18 August 2022]
Introduction to tree-based methods for tabular data.