Bayesian methods

[floer32]

PULL REQUESTS WELCOME!

We already have this ...

Here's an IPython Notebook book about Probabilistic Programming and Bayesian Methods for Hackers: "An intro to Bayesian methods and probabilistic programming from a computation/understanding-first, mathematics-second point of view."

I've come across markdregan/Bayesian-Modelling-in-Python and it looks great. Should probably add a link to this, right around the quote above. But then it might be good to have a word or two link to some explanation of the exact relationship of Bayesian Modeling to ML ...

the inline link should link to 1+ of these:

• https://www.metacademy.org/roadmaps/rgrosse/bayesian_machine_learning
• http://mlg.eng.cam.ac.uk/zoubin/bayesian.html
• http://www.cs.utah.edu/~piyush/teaching/bayes-review.pdf

[floer32]

Drafting. Here is a draft section. Need review though! Or another draft from someone!

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Bayesian Statistics and Machine Learning

From the "Bayesian Machine Learning" overview on Metacademy:

... Bayesian ideas have had a big impact in machine learning in the past 20 years or so because of the flexibility they provide in building structured models of real world phenomena. Algorithmic advances and increasing computational resources have made it possible to fit rich, highly structured models which were previously considered intractable.

You can learn more by studying one of the following resources. Both resources use Python, PyMC, and Jupyter Notebooks.

• The free book, Probabilistic Programming and Bayesian Methods for Hackers. Made with a "computation/understanding-first, mathematics-second point of view." It's available in print too!
• Bayesian Modelling in Python