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== 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. |
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=== Software === Public code for machine learning : http://homepages.inf.ed.ac.uk/rbf/IAPR/researchers/MLPAGES/mlcode.htm |
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