| 1 | Mar 06 / 07 | Introduction (CP) pdf |
Basics (TM)
pdf Chapter 1 (Bishop) |
| 2 | Mar 13 / 14 |
Basics (TTW) (cont.)
pdf Chapter 1 (Bishop) |
Linear Models for Regression (TTW)
pdf Chapter 3 (Bishop) |
| Mar 14 | A0 Due: Mathematical Prerequisites | ||
| Mar 15 |
Python Tutorial 9:45–11:15, OMP, HS13 [resources.zip] [code.zip] [Data analysis] [Image processing + numpy] |
||
| 3 | Mar 20 / 21 |
Advanced Regression (TTW)
pdf Chapter 3 (Bishop) |
Linear models for classification (TTW)
pdf Chapter 4 (Bishop) or Chapter 4 (Hastie et al.) |
| 4 | Mar 27 / 28 |
Linear models for classification (TTW) (cont.)
pdf Chapter 4 (Bishop) or Chapter 4 (Hastie et al.) |
Linear models for classification (TTW) (cont.)
pdf Chapter 4 (Bishop) or Chapter 4 (Hastie et al.) |
| 5 | Apr 03 / 04 |
Neural networks (TTW)
pdf Chapter 5 (Bishop) or Chapter 11 (Hastie et al.) |
Intro to learning theory (MGW) |
| Apr 04 | L1 Due: Regression Lab | ||
| 6 | Apr 10 / 11 | VC-dimension (MGW) | Decision trees / model validation (MGW) |
| 7 | Apr 17 / 18 | Easter (No class) | Easter (No class) |
| 8 | Apr 24 / 25 | Easter (No class) | Easter (No class) |
| 9 | May 01 / 02 | Staatsfeiertag (No class) |
Graphical models (TTW)
pdf Chapter 8 [8.1, 8.2] (Bishop) or Chapter 17 (Hastie et al.) |
| May 06 | L2 Due: Classification Lab | ||
| 10 | May 08 / 09 |
Kernel methods (TM)
pdf Chapter 6 (Bishop) |
Sparse kernel machines (TM)
pdf Chapter 7 (Bishop) or Chapter 12 (Hastie et al.) |
| May 09 | Due: Pen and paper 1 | ||
| 11 | May 15 / 16 |
Sparse kernel machines (TM) (cont.)
pdf Chapter 7 (Bishop) or Chapter 12 (Hastie et al.) |
Midterm exam |
| 12 | May 22 / 23 |
Association Analysis -- Part 1 (CP)
pdf |
Clustering -- Part 1 (CP)
pdf |
| 13 | May 29 / 30 |
Dimensionality Reduction -- Part 1 (CP)
pdf |
Ascension day (No class) |
| 14 | Jun 05 / 06 |
Clustering -- Part 2 (CP)
pdf |
Clustering -- Part 3 (CP)
pdf |
| 15 | Jun 12 / 13 |
Outlier Detection -- Part 1 (CP)
pdf |
Association Analysis -- Part 2 (CP) |
| Jun 13 | L3 Due: Clustering lab | ||
| 16 | Jun 19 / 20 | Discussion Lab 3 + Pen and Paper 2 | No class |
| Jun 19 | Due: Pen and paper 2 | ||
| 17 | Jun 26 / 27 | Outlier Detection -- Part 2 (CP) | Final exam |