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CamDavidsonPilon / Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
MIT License
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Updated Dependencies with note on TFP being in Colab's default runtime #421

Closed matthew-mcateer closed 5 years ago

matthew-mcateer commented 5 years ago

So, three major changes 1) Deleted the tensorflow probability installation cell (since TFP is in the default runtime for colab, this was replaced with instructions on how to install TFP if you're running it locally 2) extra markdown added to the cell with the global variables in order to explain what those variables actually do 3) Re-ran chapters 2 and 4 with better resolution for the outputs

matthew-mcateer commented 5 years ago

@CamDavidsonPilon, There's a conflict?

CamDavidsonPilon commented 5 years ago

related to the fix here: https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/pull/420 Are you comfortable resolving?

matthew-mcateer commented 5 years ago

@Cameron I resolved the conflict and also made a few updates to the formats of the equations. It should be all ready now.

CamDavidsonPilon commented 5 years ago

lgtm!