[ML] information sources.md

Machine Learning Tutorials

A collection of information sources for further studies on pattern recognition, classifiers and machine learning in general.

Full Tutorials

• Pattern classification by Sebastian Raschka. A very comprehensive guide to machine learning in Python.

Weka

1. Data Mining with Weka MOOC [videos], [transcript]
2. More Data Mining with Weka MOOC [videos], [transcript]

Lectures

Friedrich-Alexander-University Erlangen-Nuremberg

1. Pattern Recognition [videos], [slides]
2. Introduction to Pattern Recognition [videos ws 2012/13], [videos ws 2010/11], [slides]
3. Pattern Analysis [videos ss 2009], [videos ws 2012/13]

more..

Stanford University

1. Machine Learning (Lecture on Blackboard) [videos]
2. Machine Learning [videos | youtube]

Algorithms

C4.5/J48

• Building Classification Models: ID3 and C4.5 [temple.edu]
• C4.5 algorithm [classle.net]

RandomForest

• Random Forests by Leo Breiman and Adele Cutler [berkeley.edu]
• Understanding Random Forests by Gilles Louppe [Ph.D. thesis]