Chapter 3: Probability: multivariate models
Figures
| Figure No. | Notebook | Figure |
|---|---|---|
| 3.1 | - | Figure_3.1.png |
| 3.2 | - | Figure_3.2.jpg |
| 3.3 | simpsons_paradox.ipynb | Figure_3.3_B.png Figure_3.3_A.png |
| 3.4 | - | Figure_3.4_A.png Figure_3.4_B.png |
| 3.5 | gauss_plot_2d.ipynb | - |
| 3.6 | gauss_plot_2d.ipynb | - |
| 3.7 | gauss_imputation_known_params_demo.ipynb | - |
| 3.8 | gauss_infer_1d.ipynb | - |
| 3.9 | gauss_infer_2d.ipynb | - |
| 3.10 | sensor_fusion_2d.ipynb | - |
| 3.11 | gmm_plot_demo.ipynb | - |
| 3.12 | gmm_2d.ipynb | - |
| 3.13 | mix_bernoulli_em_mnist.ipynb | - |
| 3.14 | - | Figure_3.14.png |
| 3.15 | - | Figure_3.15_B.png Figure_3.15_A.png |
| 3.16 | - | Figure_3.16.png |
| 3.17 | - | Figure_3.17.png |
Supplementary material
| Title | Software | Link |
|---|---|---|
| Intro to probability | Scipy | prob.ipynb |