This schedule is tentative and may change.
| Date | Topic | Materials |
|---|---|---|
| August 19 | Course Introduction |
|
| August 21 | Supervised Learning | |
| August 23 | Supervised Learning | |
| August 26 | Multi-class Classification | |
| August 28 | Probability Theory Review | |
| August 30 | Linear Discriminant Analysis | |
| September 4 | Naive Bayes Classifier | |
| September 6 | Kernels | |
| September 9 | Support Vector Machine | |
| September 11 | Support Vector Machine | |
| September 13 | Perceptrons | |
| September 16 | Artificial Neural Networks and Backpropagation | |
| September 18 | Bias-Variance Tradeoff | |
| September 20 | Decision Trees | |
| September 23 | Ensemble Methods | |
| September 25 | Ensemble Methods | |
| September 27 | Introduction to Deep Learning | |
| September 30 | Convolutional Neural Networks | |
| October 2 | Convolutional Neural Networks | |
| October 4 | Introduction to PyTorch |
|
| October 7 | PyTorch Lightning |
|
| October 9 | Optimization for Deep learning | |
| October 11 | Automatic Differentiation | |
| October 14 | Generative Adversarial Networks |
|
| October 16 | Unsupervised Learning - Clustering |
|
| October 18 | CANCELLED |
|
| October 21 | Principal Component Analysis | |
| October 23 | CANCELLED |
|
| October 25 | CANCELLED |
|
| October 28 | Recurrent Neural Networks | |
| October 30 | Transformers | |
| November 1 | Unsupervised Deep Learning |
|
| November 4 | Markov Decision Processes | |
| November 6 | Reinforcement Learning | |
| November 8 | Policy Gradient Methods |
|
| November 11 | Deep Reinforcement Learning |
|
| November 13 | Object Detection | |
| November 15 | Object Detection, Image Segmentation | |
| November 18 | Large Language Models |
|
| November 20 | Large Language Models |
|
| November 22 | Project Presentations |
|
| November 25 | Project Presentations |
|
| December 2 | Project Presentations |
|