This repo hosts the resources and materials used in MLDA''s Machine Learning Training Programme. Please click any of the folder above, or the links below, to navigate.
| Week | Title | Topics | Link |
|---|---|---|---|
| 3 | Introduction to AI, ML, DS and Data Science I | Overview of ML. Working with Tabular data | link |
| 4 | Data Science II | ML algorithms for Tabular data | link |
| 5 | Neural Network | Overview of NN. MLP with PyTorch | link |
| 6 | Practical Data Science | Use git and conda. Typical DS project | link |
| 7 | Introduction to PyTorch | PyTorch concepts. General DL workflow | link |
| 8 | Vision I | Introduction to Vision tasks. Transfer Learning for Image classification | link |
| 10 | Vision II | Object detection and segmentation. Deep dive into CNN architecture | link |
| Week | Title | Topics | Link |
|---|---|---|---|
| 3 | Introduction to NLP | Overview of text data. Word vectors | link |
| 4 | NLP with Deep Learning | Some text models. Recurrent Neural Networks | link |
| 5 | Attention | Sequence-to-sequence models. Attention mechanism | link |
| 6 | Transformers | Structure of a transformer model. Some popular transformer models | link |