| Chapter | Name | Colab for generating figures | Supplementary material |
|---|---|---|---|
| 1 | Introduction | Link | Link |
| 2 | Probability: univariate models | Link | Link |
| 3 | Probability: multivariate models | Link | Link |
| 4 | Statistics | Link | Link |
| 5 | Decision theory | Link | Link |
| 6 | Information theory | Link | Link |
| 7 | Linear algebra | Link | Link |
| 8 | Optimization | Link | Link |
| 9 | Linear discriminant analysis | Link | Link |
| 10 | Logistic regression | Link | Link |
| 11 | Linear regression | Link | Link |
| 12 | Generalized linear models | Link | Link |
| 13 | Neural networks for unstructured data | Link | Link |
| 14 | Neural networks for images | Link | Link |
| 15 | Neural networks for sequences | Link | Link |
| 16 | Exemplar-based methods | Link | Link |
| 17 | Kernel methods | Link | Link |
| 18 | Trees | Link | Link |
| 19 | Learning with fewer labeled examples | Link | Link |
| 20 | Dimensionality reduction | Link | Link |
| 21 | Clustering | Link | Link |
| 22 | Recommender systems | Link | Link |
| 23 | Graph embeddings | Link | Link |
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Folders and files
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