Diff for "MachineLearning" - Methods
location: Diff for "MachineLearning"
Differences between revisions 3 and 4
Revision 3 as of 2008-05-27 15:30:40
Size: 600
Comment:
Revision 4 as of 2008-05-27 15:35:11
Size: 780
Comment:
Deletions are marked like this. Additions are marked like this.
Line 7: Line 7:
1. Introduction (applications, supervised, unsupervised, semi-supervised, reinforcement learning, bayes rule, probability theory, randomness) attachment:Presentation1_LML.ppt Eleftherios Garyfallidis. 1. Introduction (applications, supervised, unsupervised, semi-supervised, reinforcement learning, bayes rule, probability theory, randomness) attachment:Presentation1_LML.ppt, 27 May 2008, Eleftherios Garyfallidis.
Line 9: Line 9:
2. Further Introduction (what is ML, bayes rule, bayesian regression,entropy, relative entropy, mutual information)
3 May 2008, Eleftherios Garyfallidis.
Line 10: Line 12:
3.
Line 11: Line 14:
4.

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) 3 May 2008, Eleftherios Garyfallidis.

3.

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.

None: MachineLearning (last edited 2013-03-08 10:28:25 by localhost)