markdown[关于黑客贝叶斯方法的注释]请参阅主页：https：//github.com/CamDavidsonPilon/ProbabilisticProgrammingandBayes

## [Prologue](http://nbviewer.jupyter.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Prologue/Prologue.ipynb)
- introductory book designed from a computation first, math second point of view.
- the book uses [PyMC3](https://github.com/pymc-devs/pymc3), a python package for all things Bayesian
- work through the book by cloning its [repo](https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers) and working through the juypyter notebooks.
- ask questions on stack exchanges stat site [Cross Validated](https://stats.stackexchange.com/).
## [Chapter 1: Introduction to Bayesian Methods](http://nbviewer.jupyter.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter1_Introduction/Ch1_Introduction_PyMC3.ipynb)
- we all update our beliefs as more data rolls in - this is the gist of bayesian inference
-