Advanced Machine Learning: Slides
| Lecture 1: | Basic info for the course [Slide] Introduction [Slide] |
| Lecture 2: | Model selection [Slide] |
| Lecture 3: | Linear Model [Slide] Support Vector Machine [Slide] Neural Network [Slide] Decision Tree [Slide] Bayesian Model [Slide] |
| Lecture 4: | Ensemble Learning [Slide] |
| Lecture 5: | Clustering [Slide] |
| Lecture 6: | Dimension Reduction [Slide] |
| Lecture 7: | Feature Selection [Slide] |
| Lecture 8: | Semi-Supervised Learning [Slide] |
| Lecture 9: | Multi-Label Learning* [Slide] |
| Lecture 10: | Graphical Model [Slide] |
| Lecture 11: | Reinforcement Learning [Slide] |
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