Week 04

Interactive session, Monday Feb 10

Interactive session recording

Weekly lecture:

Slides: Supervised Learning 1

Syllabus:

• Hal Daum¨¦ III, A course in Machine Learning
  • Ch. 1 Decision Tree, Sec. 1.0-1.3, but not the pseudo code
  • Ch. 2 Limits of Learning, Sec. 2.2-2.7
  • Ch. 3 Geometry and Nearest neighbors, Sec. 3.0-3.3
• Marsland, Machine Learning
  • Ch. 2 Preliminaries, from beginning up to formula (2.2) p. 23
  • Ch. 7, Sec. 7.2 Nearest Neighbour Methods, except subsec. 7.2.1-7.2.2

Lecture videos:

1. Introduction
2. Classifiers and features
3. Supervised learning
4. k Nearest Neighbors
5. Feature scaling

Weekly exercises

• Exercises
• Solution proposals