| Date | Topics | Slides | Discussion Session |
| 08/29 | Overview; nearest neighbor classification; core ML concepts | slides, handouts (1-page, 4-page) | math exercises, solutions, slides (by Yue) |
| 09/05 | Linear regression; regression with nonlinear basis;
regularized regression | slides, handouts (1-page, 4-page) | practice, solutions, slides (by Dongze) |
| 09/12 | Linear classifiers; Perceptron; logistic regression;
general optimization algorithms | slides, handouts (1-page, 4-page), colab | practice, solutions, slides (by Sayan) |
| 09/19 | Multiclass classification; kernel methods | slides, handouts (1-page, 4-page) | HW1 solutions, slides (by Yi) |
| 09/26 | Neural networks; convolutional neural nets | slides, handouts (1-page, 4-page), NN demo, CNN demo | practice, slides, Backprop demo (by Yue) |
| 10/03 | SVM; decision trees; boosting | slides, handouts (1-page, 4-page), colab | Exam1 Sample, slides (by Yi) |
| 10/10 | Fall Recess | | |
| 10/17 | Exam 1 | | |
| 10/24 | Clustering; K-means; Gaussian mixture models; EM | slides, handouts (1-page, 4-page)
K-means demo, EM_demo_1D, EM_demo_2D | practice, solutions (by Yi) |
| 10/31 | Dimensionality reduction and visualization; PCA;
Markov models | | (by Sayan) |
| 11/07 | Recurrent neural nets; attention; transformers;
large language models | | (by Dongze) |
| 11/14 | Multi-armed bandits; preference learning; learning in games | | (by Sayan) |
| 11/21 | (Deep) reinforcement learning | | (by Dongze) |
| 11/28 | Thanksgiving | | |
| 12/05 | Exam 2 | |
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