MachineLearning - Methods
Self: MachineLearning

Machine Learning Pages

These pages have been compiled by members of the CBU Learning Machine Learning (LML) Group

Machine Learning Course

1. Introduction (applications, supervised, unsupervised, semi-supervised, reinforcement learning, bayes rule, probability theory, randomness) attachment:Presentation1_LML.ppt, 27 May 2008, Eleftherios Garyfallidis.

2. Further Introduction (what is ML, bayes rule, bayesian regression,entropy, relative entropy, mutual information), attachment:Presentation2_LML.ppt, 3 June 2008, Eleftherios Garyfallidis.

3. 10 June 2008, Hamed Nili.

4.

Reading Lists

MCMC

Christophe Andrieu, Nando de Freitas, Arnaud Doucet and Michael I. Jordan. (2003) [attachment:Andrieu2003.pdf An Introduction to MCMC for Machine Learning.] Machine Learning, 50, 5–43, 2003.

Software

Public code for machine learning :

http://homepages.inf.ed.ac.uk/rbf/IAPR/researchers/MLPAGES/mlcode.htm

None: MachineLearning (last edited 2008-06-03 14:19:47 by EleftheriosGaryfallidis)