| Date | Topics | Slides | Discussion Session |
| 01/17 | Overview; nearest neighbor classification; core ML concepts | slides, handouts (1-page, 4-page) | math exercises, solutions, notes (by Dongze) |
| 01/24 | Linear regression; regression with nonlinear basis;
regularized regression | slides, handouts (1-page, 4-page) | practice, solutions, notes (by Xiao) |
| 01/31 | Linear classifiers; Perceptron; logistic regression;
general optimization algorithms | slides, handouts (1-page, 4-page), colab | practice, solutions, notes (by Soumita) |
| 02/07 | Multiclass classification; neural networks | slides, handouts (1-page, 4-page), demo | Backprop explainer (by Dongze) |
| 02/14 | Convolutional neural nets; kernel methods | slides, handouts (1-page, 4-page), demo | practice, solutions, HW1_review (by Robby) |
| 02/21 | Lagrangian duality; SVM | slides, handouts (1-page, 4-page), colab | quiz1_2021, quiz1_2021_sol (by Xiao) |
| 02/28 | Decision trees; boosting | slides, handouts (1-page, 4-page) | quiz1_2024, quiz1_2024_sol (by Xiao) |
| 03/07 | Quiz 1 | | |
| 03/14 | Clustering; K-means; Gaussian mixture models; EM | slides, handouts (1-page, 4-page)
K-means demo, EM_demo_1D, EM_demo_2D | practice, solutions, notes (by Soumita) |
| 03/21 | Spring Recess | | |
| 03/28 | Density estimation; naive Bayes;
dimensionality reduction and visualization; PCA | slides, handouts (1-page, 4-page) | practice, solutions (by Robby) |
| 04/04 | (Hidden) Markov models | slides, handouts (1-page, 4-page) | practice, solutions, notes (by Soumita) |
| 04/11 | Recurrent neural nets; attention; transformers;
large language models | slides, handouts (1-page, 4-page)
visualization for tiny RNN, attention, transformers | HW3_review (by Robby) |
| 04/18 | Multi-armed bandits; preference learning; learning in games | slides, handouts (1-page, 4-page), UCB demo | sample_quiz2 (by Robby) |
| 04/25 | (Deep) reinforcement learning | | (by Dongze) |
| 05/02 | Quiz 2 | |
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