This schedule is tentative and may change.
| Date | Topic | Materials |
|---|---|---|
| August 21 | Course Introduction |
|
| August 23 | Supervised Learning | |
| August 25 | Supervised Learning | |
| August 28 | Supervised Learning | |
| August 30 | Python Review, Probability Theory | |
| September 1 | Linear Discriminant Analysis, Regularization | |
| September 6 | Naive Bayes Classifiers | |
| September 8 | Kernels | |
| September 11 | Support Vector Machines | |
| September 13 | Support Vector Machines | |
| September 15 | Sequential Minimal Optimization | |
| September 18 | Perceptrons | |
| September 20 | Artificial Neural Networks | |
| September 22 | Backpropagation | |
| September 25 | Bias-Variance Tradeoff, Model Selection, and Cross-Validation | |
| September 27 | Hidden Markov Models | |
| September 29 | Hidden Markov Models | |
| October 4 | Hidden Markov Models | |
| October 6 | Decision Trees | |
| October 9 | Decision Trees | |
| October 11 | Clustering |
|
| October 13 | Principal Component Analysis | |
| October 16 | Principal Component Analysis | |
| October 18 | Boosting | |
| October 20 | Boosting | |
| October 23 | Introduction to Deep Learning | |
| October 25 | Convolutional Neural Networks | |
| October 27 | Convolutional Neural Networks | |
| October 30 | Optimization for Deep Learning | |
| November 1 | Recurrent Neural Networks | |
| November 3 | Transformers | |
| November 6 | Markov Decision Processes | |
| November 8 | Markov Decision Processes | |
| November 10 | Reinforcement Learning | |
| November 13 | Policy Gradient Methods | |
| November 15 | Natural Language Processing | |
| November 17 | Recent History of LLMs |
|
| November 20 | CANCELLED |
|