Machine Learning Theory
Notes
| Name | Tags |
|---|---|
| Proof tips | |
| Concentration Inequalities | Background |
| Empirical Risk Minimization | Supervised Intro |
| Asymptotic Analysis | Supervised Intro |
| Generalization | Generalization |
| Rademacher Complexity | Generalization |
| VC Dimension | Generalization |
| Convex Optimization | Optimization |
| Stochastic Gradient Descent | Optimization |
| Online Learning | Optimization |
| Regularization | Optimization |
| Non-Convex Optimization | Optimization |
| K-Means Clustering | Unsupervised |
| Embeddings | Unsupervised |
| Method of Moments | Unsupervised |
| Kernels | Unsupervised |
| Deep Learning |