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Mathematical Statistics with a View Toward Machine Learning
1. Preview
2. Probability spaces
3. Rules of probability
4. Random variables
5. Examples of random variables
6. Connecting theory to practice: a first look at model building
7. Random vectors
8. More probability theory
9. The halfway point: pivoting toward models and data analysis
10. Information theory
11. Optimization
12. Probabilistic graphical models
13. Learning
14. Statistical inference
15. Bibliography
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