Technion - Israel Institute of Technology  
236756 - Introduction to Machine Learning
  Spring 2007 EnglishRussianHebrewArabic  
Course Material

Recitations

Clustering
clustering_handout.pdf 448 KB
Statistical Machine Learning - Handouts
statistical_ML.pdf 298 KB
Notes:  version 0.1.0 (black&white); please notify about typos\bugs
watch Vapnik's lecture: here
Empirical Evaluation
empirical_eval.pdf 392 KB
Notes:  Slides version: 0.0.1 (very preliminary)

Relevant References:
1. In Defense of One-Vs-All Classification, Rifkin and Klautau, Journal of Machine Learning Research, Volume 5, pp. 101-141, 2004.

2. Statistical Comparisons of Classifiers over Multiple Data Sets, Demsar, Journal of Machine Learning Research, Volume 7, pp. 1-30, 2006.

3. Writing for computer science, Zobel, 1997, Chapter 8.

4. Introduction to machine learning, Alpaydin, 2004, Chapter 14.
Linear Classification Models
Linear Models for Classification.pdf 559 KB
Notes:  Slides version: 0.0.3 (working draft)
Active learning
Incorporating_unlbl_in_learning.pdf 392 KB
Notes:  slides version 0.0.1