| 1 | Feb 28 / Mar 1 | No lecture | Introduction (CP,MH) pdf |
| 2 | Mar 7 / 8 | Models and More [1] (MH) pdf | Models and More [2] (MH) pdf |
| Mar 8 | Due: Mathematical Prerequisites (09:45) | ||
| 3 | Mar 14 / 15 | Simple Regression (MH) pdf | Multiple Regression (MH) pdf |
| 4 | Mar 21 / 22 | Non-linear Regression (MH) pdf | Regression with Indicator Variables (MH) pdf |
| Mar 28 / 29 | Happy Easter! | Happy Easter! | |
| Apr 4 / 5 | Happy Easter! | Happy Easter! | |
| 5 | Apr 11/ 12 | Regularized Regression (MH) pdf | Regression Trees (MH) pdf |
| Apr 12 | Due: Lab Statistics (09:45) Due: Pen & Paper Statistics (09:45) | ||
| 6 | Apr 18/ 19 |
Test: Statistics (MH)
ML Basics (TTW)
pdf Chapter 1 (Bishop) |
ML Basics (TTW) (cont.)
pdf Chapter 1 (Bishop) Linear models for classification (TTW) pdf Chapter 4 (Bishop) or Chapter 4 (Hastie et al.) |
| 7 | Apr 25/ 26 |
Linear models for classification (TM) (cont.)
pdf Chapter 4 (Bishop) or Chapter 4 (Hastie et al.) |
Linear models for classification (TM) (cont.)
pdf Chapter 4 (Bishop) or Chapter 4 (Hastie et al.) |
| 8 | May 2 / 3 |
Neural networks (TTW)
pdf Chapter 5 (Bishop) or Chapter 11 (Hastie et al.) |
Kernel methods (TTW)
pdf Chapter 6 (Bishop) |
| 9 | May 9 / 10 |
Sparse kernel machines (TM)
pdf Chapter 7 (Bishop) or Chapter 12 (Hastie et al.) | Ascension Day |
| 10 | May 16 / 17 |
Graphical models --- Part 1 (TTW)
pdf Chapter 8 (Bishop) or Chapter 14 (Hastie et al.) |
Graphical models --- Part 2 (TTW)
pdf Chapter 8 (Bishop) or Chapter 14 (Hastie et al.) |
| May 17 | Due: Lab Machine Learning (09:45) Due: Pen & Paper Machine Learning (09:45) | ||
| 11 | May 23 / 24 |
Test: Machine Learning (TM)
Intro Data Mining (CP)
pdf |
Association Analysis -- Part 1 (CP)
pdf |
| 12 | May 30 / 31 |
Association Analysis -- Part 2 (CP)
pdf | Corpus Christi |
| 13 | June 6 / 7 |
Dimensionality Reduction (CP)
pdf |
Dimensionality Reduction (CP)
pdf |
| 14 | June 13 / 14 |
Clustering (CP)
pdf |
Clustering (CP)
pdf |
| 15 | June 20 / 21 | Data Mining 7 (CP) | Data Mining 8 (CP) |
| June 21 | Due: Lab Data Mining (09:45) Due: Pen & Paper Data Mining (09:45) | ||
| 16 | June 27 / 28 | Test: Data Mining (CP) | Final Discussion / Outlook |