3 ms·
some useful books available as a PDF: David Barber "Bayesian Reasoning and Machine Learning" http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.H
by kristjankalm 11y ago
some useful books available as a PDF:
David Barber "Bayesian Reasoning and Machine Learning"
http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=...
-- Thorough and systematic, accompanied by a Matlab library
Marc Steyvers "Computational Statistics with Matlab"
http://psiexp.ss.uci.edu/research/teachingP205C/205C.pdf http://psiexp.ss.uci.edu/research/teachingP205C/205C.pdf
-- Somewhat unfinished but very good hands-on guide for a total novice
David Draper "Bayesian Modeling, Inference and Prediction"
https://users.soe.ucsc.edu/~draper/draper-BMIP-dec2005.pdf https://users.soe.ucsc.edu/~draper/draper-BMIP-dec2005.pdf
-- Quite good if you're already familiar with a field, might be slightly daunting for a beginner
and the classic, David MacKay's
"Information Theory, Inference, and Learning Algorithms"
http://www.inference.phy.cam.ac.uk/itprnn/book.html http://www.inference.phy.cam.ac.uk/itprnn/book.html