Lecture 6 - no slides
LECTURE NOTES
LECTURE NOTES
with minor corrections, March 20, 2010
PREPARATORY READING
Wikibook on Statistics
SUPPLEMENTARY READING (mainly DD3342)
Some of Ed Jaynes' lecture notes are here:
http://www.nada.kth.se/kurser/kth/2D5342/kurspaket/
Hand on Machine Learning and the Illusion of Progress
Gammerman, Vovk, On Hedging Predictions
Vovk, et al: Algorithmic learning in a random world
Salakhutdinov, Mnih: Bayesian Probabilistic Matrix Factorization
Amazon's recommendation method
Raiko, Valpola, Harva, Karhunen: Building Blocks for Variational Bayesian Learning
RECOMMENDED CODES
Matlab code directory
Bayes Blocks Software
Particle filtering at TKK
Mathworks central file exchange
SVM-KM package
Support Vector Technology
Bayes Net Toolbox