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 |