MAML
0.1
1. Mathematics and Applications of Machine Learning
2. Introduction
3. First steps: Linear Classification
4. Optimization theory
5. Nonlinear classification problems
6. Neural networks
7. Representation and approximation by neural networks
8. Outlook
9. References
MAML
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