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Welcome

Useful mathematical facts
- Technicalities: Kronecker product of matrices and the vectorization operation

1. Review of statistics

2. Statistical Mechanics for the statistician

3. A first encounter with ML and the supervised setting

4. Bayesian Supervised Learning

5. Infinite width limit of Neural Networks
- 5.1. NTK regime
- 5.2. NNGP regime

6. Neural Network in the proportional limit and renormalized theories

7. Learning algorithms and optimization methods

8. Sampling theory and algorithms

Old Chapter, deep learning theory

9. Topics in Bayesian Supervised Learning
10. First version of the calculations

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By Vincenzo Zimbardo

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