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notebooks/book2/README.md
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| 3 | Bayesian statistics | [03/](03/) |
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| 4 | Probabilistic graphical models | [04/](04/) |
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| 5 | Information theory | [05/](05/) |
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-| 6 | Optimization | [06/](06/) |
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-| 7 | Inference algorithms: an overview | [07/](07/) |
+| 6 | Inference algorithms: an overview | [inf/](inf/) |
+| 7 | Optimization | [opt/](opt/) |
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| 8 | Inference for state-space models | [08/](08/) |
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| 9 | Inference for graphical models | [09/](09/) |
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| 10 | Variational inference | [10/](10/) |
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| 33 | Interpretability | [33/](33/) |
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| 34 | Decision making under uncertainty | [34/](34/) |
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| 35 | Reinforcement learning | [35/](35/) |
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-| 36 | Causality | [36/](36/) |
+| 36 | Causality | [36/](36/) |
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