Bayesian Methods for Hackers

[trengrj]

https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/

[dang]

Also https://news.ycombinator.com/item?id=6351681 and https://news.ycombinator.com/item?id=6102782.

[twiecki]

The book is based on PyMC2, a Python module for Bayesian inference: http://pymc-devs.github.io/pymc/

PyMC3 is nearing the first beta release and is a complete rewrite that's using Theano to add just-in-time-compilation as well as support for next-generation sampling methods like Hamiltonian Monte Carlo (e.g. NUTS): http://pymc-devs.github.io/pymc3/

[iliis]

Yudkowsky's "An Intuitive Explanation of Bayes' Theorem" is a good introduction as well: http://www.yudkowsky.net/rational/bayes/

[kyriakos → iliis]

Java plugin required? :(

[TeMPOraL → kyriakos]

There are applets embedded there that help you play around with visualizations; they're not required to read and understand the text though, just helpful.

[aytekin]

Love the chapter on the law of large numbers http://nbviewer.ipython.org/github/CamDavidsonPilon/Probabil...

[radarsat1]

Anyone know how to turn this into an ePub or some convenient e-reader format?

[wuschel → radarsat1]

There is a shell script in the source that converts the ipython notebook files into PDF. Unfortunatly, I do not have access to my linux box these days to do the conversion.

[baq → wuschel]

PDF isn't particularly well suited for kindles. epub/mobi would be better.

[danuker]

Yes! A thousand times yes!