Schedule

Week Date Friday
1 Oct 6 Introduction + Admin [CP] pdf
Models and More [MH] pdf
2 Oct 13 Models and More [MH] pdf
Simple Regression [MH] pdf
Chapter 3 (James et al.) or Chapter 3 (Hastie et al.)
Oct 13 Due: Mathe Sheet (during class) pdf
3 Oct 20 Multiple Regression [MH] pdf
Chapter 3 (James et al.) or Chapter 3 (Hastie et al.)
4 Oct 27 Non-Linear Regression [MH] pdf
Regression with Indicator Variables [MH] pdf
Regression Trees [MH] pdf
Regularized Regression [MH] pdf
Oct 27 Due: Pen & Paper [MH] (during class)
5 Nov 03 Some ML basics [TM] pdf
Chapter 1 (Bishop)
Nov 3 Due: Lab [MH] (13:15)
Nov 3 Test [MH] (during class)
6 Nov 10 Linear Models for Classification [TM] pdf
Chapter 4 (Bishop) or
Chapter 4 (Hastie et al.)

Neural Networks [TM] pdf
Chapter 5 (Bishop) or
Chapter 11 (Hastie et al.)
7 Nov 17 Kernel Methods [TM] pdf
Chapter 6 (Bishop)

Sparse Kernel Machines [TM] pdf
Chapter 7 (Bishop) or
Chapter 12 (Hastie et al.)
8 Nov 24 Graphical Models [TM] pdf
Chapter 8 [8.1, 8.2] (Bishop) or
Chapter 17 (Hastie et al.)

Combining Models [TM] pdf
Chapter 14 (Bishop)

Discussion Pen & Paper [TM]
Nov 24 Due: Pen & Paper [TM] (during class)
9 Dec 1 Association Rule Mining and Dimensionality Reduction [CP] pdf
Dec 1 Test [TM] (during class)
Dec 1 Due: Lab [TM] (13:15)
Dec 08 Immaculate Conception
10 Dec 15 Clustering 1 [CP] pdf
Dec 22 Holiday
Dec 29 Holiday
Jan 5 Holiday
11 Jan 12 Clustering 2 [CP] pdf
12 Jan 19 Outlier Detection and Test Preparation [CP] pdf
Discussion Pen & Paper [CP]
Jan 19 Due: Pen & Paper [CP] (during class)
13 Jan 26 Test [CP] (during class)
Jan 26 Due: Lab [CP] (13:15)
no lecture subject to modifications due