This repo contains the materials of all workshops conducted by MLDA Academics team in Academic Year 2023-2024
You can navigate the folders in this repo to access materials from individual workshops. A summary table is produced below for your convenience
| Index | Workshop title | Instructor | Materials link |
|---|---|---|---|
| 1 | Programming Environment | Huy | Folder |
| 2 | Introduction to Python | Sidhagana | Folder |
| 3 | Python libraries | Aditya | Folder |
| 4 | Machine Learning Fundamentals | Chen Tianhe | Folder Youtube |
| 5 | Deep Learning Part 1 | Aditya Somasundaram | Folder Youtube |
| 6 | Deep Learning Part 2 | Dhanoosh | Folder Youtube |
| 7 | Deep Learning Part 3 | Bryan | Folder Youtube |
| 8 | Computer Vision Introduction | Ong Kang Howe | Folder Youtube |
| 9 | Natural Language Processing Introduction | Bryan | Folder Youtube |
| 10 | Transfer Learning | Minh | Folder |
| 11 | Transformer | Dhanoosh | Folder Youtube |
| 12 | Detection & Segmentation | Ong Kang Howe | Folder |
| 13 | Prompt Engineering | Aditya Somasundaram & Ronak | Folder |
| 14 | Current State of AI | Huy | Folder Youtube |
| 15 | IE0005 Review (Sem 1 & 2) | Huy | Folder Youtube Sem 1 Youtube Sem 2 |