PRML
Chapter
1. Introduction
2. Probabilty Distribution
3. Linear Models for Regression
4. Linear Models for Classification
5. Neural Networks
8. Graphical Models
9. Mixture Models and EM
10. Variational Inference
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Chapter. 10
0. Approximate Inference
1. Variational Inference
2. Variational Mixture of Gaussians
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2. Variational Mixture of Gaussians
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