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Personal notes on Bayesian Machine Learning
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animations Added Conditional SMC File Sep 9, 2014
appendix Weekly meetings and prob. prog. chapter Oct 18, 2014
basics
hypothesis
models finish lda Jun 17, 2015
nnets
np
par-est
pprog typo Feb 7, 2015
sampling typo Feb 7, 2015
weekly
.gitignore Edit gitignore Oct 15, 2014
README.md Update README.md Sep 29, 2014
basics.tex
bayes.pdf finish lda Jun 17, 2015
bayes.tex cosmetic + bugs Apr 9, 2015
bibliography.bib
hypothesis.tex clean up; reorganise Mar 6, 2015
models.tex cosmetic + bugs Apr 9, 2015
nnets.tex neural nets Feb 27, 2015
notation.tex lin reg Dec 10, 2014
np.tex
packages-and-defs.tex
par-est.tex
pprog.tex Added sections Oct 21, 2014
sampling.tex Fixed notation and brackets for Particle filtering Sep 7, 2014
test.pdf Added pmcmc algorithms Sep 7, 2014
test.tex
weekly.tex Weekly report Oct 22, 2014

README.md

My personal notes on Bayesian Machine Learning. The notes are in bayes.pdf.

They are for my learning purposes only so I didn't cite my sources, some things might not be 100% correct, etc..

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