This includes the material for the Supervised Machine Learrning Course - Summer 2024.
Below is the unit outline with links to the study material:
| **** | Lecture Material | Practices & Activities | Recommended Reading |
|---|---|---|---|
| Lecture-1 | - Linear Regression (Notes - Video) | - Notebook | Chapter 3 of ESL |
| Lecture-2 | - Linear Classification (Notes - Video) | - [Notebook](In the slides) | Chapter 4 of ESL |
| Lecture-3 | - Kernel Functions (Notes - Video) | - Notebook | --- |
| Lecture-4 | - Neural Networks 1 (Notes - Video) | - Notebook | --- |
| Lecture-5 | - Neural Networks 2 (Notes - Video) | - Notebook | --- |
| Lecture-6 | - Neural Networks 3 (Notes - Video) | - Notebook | --- |
| Lecture-7 | - Computer Vision Case Study (Notes - Video) | - Notebook | --- |
| Lecture-8 | - Natural Language Processing Case Study (Notes - Video) | - Notebook | --- |