Veranstaltungen im Wintersemester 2014 / Vorlesung Maschinelles Lernen / Vorlesungsskript
Vorlesungsfolien:
| 0. Introduction | [PDF] | 21.10.2014 | |
| A1. Linear Regression | [PDF] | 22.10.2014 | |
| A2. Linear Classification | [PDF] | 28.10.2014 | |
| A3. Regularization | [PDF] | 29.10.2014 | |
| A4. High-Dimensional Data | [PDF] | 04.11.2014 | |
| A5. Nearest Neighbor Models | [PDF] | 05.11.2014 | |
| A6. Decision Trees | [PDF] | 11.11.2014 | |
| A7. Support Vector Machines | [PDF] | 12.11.2014 | |
| A8. Bayesian Networks | [PDF] | 18.11.2014 | |
| B1. Cluster Analysis | [PDF] | 19.11.2014 | |
| B2. Dimensionality Reduction | [PDF] | 25.11.2014 | |
| B3. Frequent Pattern Mining | [PDF] | 26.11.2014 | |
| C1. State Space Models | [PDF] | 02.12.2014 | |
| C2. Markov Decision Process | [PDF] | 03.12.2014 |