This schedule is tentative and may change.
| Date | Topic | Materials | |
|---|---|---|---|
| June 5 | Course Introduction, Supervised Learning | Linear Regression | |
| June 7 | Supervised Learning, Python Review | Logistic Regression | |
| June 12 | Probability Theory, Linear Discriminant Analysis | Probability Theory, LDA | |
| June 14 | Naive Bayes, Overfitting & Regularization in Linear Models, Kernels | Naive Bayes, Regularization, Kernels | |
| June 19 | Juneteenth Holiday | ||
| June 21 | Support Vector Machines | Support Vector Machines | |
| June 26 | Support Vector Machines, Sequential Minimal Optimization | SVM, SMO | |
| June 28 | Neural Networks | Neural Networks | |
| July 3 | US Independence Day Extra | ||
| July 5 | Introduction to PyTorch, Bias-Variance Tradeoff, Model Selection, Regularization | Bias and Variance | |
| July 10 | Hidden Markov Models | Hidden Markov Models | |
| July 12 | Decision Trees | Decision Trees | |
| July 17 | HMM Example, DT Example, Boosting | Boosting | |
| July 19 | Gradient Boosting, Principal Component Analysis | Gradient Boosting, Principal Component Analysis | |
| July 24 | Deep Learning, Convolutional Neural Networks, Sequential Models | Deep Learning, CNNs | |
| July 26 | Transformers, Markov Decision Processes | Transformers, Markov Decision Processes |