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@khalido
Last active September 26, 2017 07:01
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  • introductory book designed from a computation first, math second point of view.
  • the book uses PyMC3, a python package for all things Bayesian
  • work through the book by cloning its repo and working through the juypyter notebooks.
  • ask questions on stack exchanges stat site Cross Validated.
  • we all update our beliefs as more data rolls in - this is the gist of bayesian inference
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