Update: At the conclusion of the course, I am glad to announce the best course projects: https://wordpress.com/block-editor/post/jainendra.in/569
Course Information
Time and Location: Wednesday, Friday 9:00 AM – 10:30 PM, Virtually on Zoom
Course Outline
| Week No | Lecture No | Date | Lecture Topic |
|---|---|---|---|
| 1 | 1 | 18/08 | Introduction |
| 2 | 20/08 | Learning Problems and the Empirical Risk Minimization Framework, Loss Functions for Classification and Regression, Evaluation Metrics for Classification | |
| 2 | 3 | 25/08 | Linear models for regression |
| 4 | 27/08 | Logistic Regression | |
| 3 | 5 | 01/09 | Machine Learning in Practice [Validation, Bias-Variance] |
| 6 | 03/09 | Machine Learning in Practice [Regularization, Resampling] | |
| 4 | 7 | 08/09 | Naive Bayes |
| 8 | 10/09 | Decision Trees | |
| 5 | 9 | 15/09 | Random Forests |
| 10 | 17/09 | Perceptron | |
| 6 | 11 | 22/09 | Oveflow |
| 12 | 24/09 | ||
| 7 | Mid-sem | ||
| 8 | 13 | 06/10 | Project Mid-Sem Presentation |
| 14 | 08/10 | MLP-I [BackPropagation] | |
| 9 | 15 | 13/10 | MLP-II [Practical Considerations] |
| 16 | 20/10 | SVM – I [Optimal Hyperlane] | |
| 10 | 17 | 22/10 | SVM – II [Primal and Dual Form] |
| 18 | 27/10 | SVM – III [Kernel SVM] | |
| 11 | 19 | 29/10 | Overflow |
| 20 | 3/11 | Unsupervised Learning: K Means | |
| 12 | 21 | 10/11 | Convolutional Neural Networks |
| 22 | 12/11 | Application to Images | |
| 13 | 23 | 17/11 | Case Study |
| 24 | 24/11 | Fairness, Accountability and Transparency | |
| 14 | 25 | 26/11 | Project End-Sem Presentation |
| 26 | 30/11 | Revision | |
| 15 | End-sem |
Contact and Communication
- Google Classroom is the forum for the class. Please send an email to me to get the registration code.
- All official announcements and communication will happen over GC.
- Any questions regarding course content and course organization should be posted on GC.
- Office hours are given below. Please schedule the appointment via the appointment page of the instructor and the concerned TAs as communicated in the GC.
Office Hours
Instructor
Jainendra Shukla Thursday 5:00 PM – 6:00 PM, Virtually on Google Meet
Teaching Assistants
Ashwini B (Ph.D.), Friday 4:00 PM – 5:00 PM, Virtually on Google Meet
Rajat Agarwal (Ph.D.), Thursday 4:00 PM – 5:00 PM, Virtually on Google Meet
Arka Sarkar, Monday 4:00 PM – 5:00 PM, Virtually on Google Meet
Lakshya A Agrawal, TBD, Virtually on Google Meet
Pragya Gandhi, TBD, Virtually on Google Meet
Ruhma Mehek Khan, TBD, Virtually on Google Meet
Yashdeep Prasad, Saturday 4:00 PM – 5:00 PM, Virtually on Google Meet
Dr. Jainendra Shukla 