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Bayesian Methods for Hackers

• danuker 12y ago
  Yes! A thousand times yes!
• radarsat1 12y ago
  Anyone know how to turn this into an ePub or some convenient e-reader format?
  • wuschel 12y ago
    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 12y ago
      PDF isn't particularly well suited for kindles. epub/mobi would be better.
  • deleted 12y ago
    [deleted]
• iliis 12y ago
  Yudkowsky's "An Intuitive Explanation of Bayes' Theorem" is a good introduction as well: http://www.yudkowsky.net/rational/bayes/ http://www.yudkowsky.net/rational/bayes/
  • kyriakos 12y ago
    Java plugin required? :(
    • TeMPOraL 12y ago
      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 12y ago
  Love the chapter on the law of large numbers http://nbviewer.ipython.org/github/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/blob/master/Chapter4_TheGreatestTheoremNeverTold/Chapter4.ipynb http://nbviewer.ipython.org/github/CamDavidsonPilon/Probabil...
• twiecki 12y ago
  The book is based on PyMC2, a Python module for Bayesian inference: http://pymc-devs.github.io/pymc/ 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/ http://pymc-devs.github.io/pymc3/
• dang 12y ago
  Also https://news.ycombinator.com/item?id=6351681 https://news.ycombinator.com/item?id=6351681 and https://news.ycombinator.com/item?id=6102782 https://news.ycombinator.com/item?id=6102782.