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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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 ;)
★28.2kstars
Jupyter Notebook
MIT
Updated: Today
GitHub
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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Category
Learning & Resources
📋 Project at a Glance
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What's this?A bayesian-methods/data-science tool in the Learning & Resources category, built with Jupyter Notebook, open-source
Who made it?Maintained by CamDavidsonPilon team, 28.2K⭐ on GitHub, #90 out of 3640 in Learning & Resources
Why does it exist?As the Learning & Resources landscape evolved, the CamDavidsonPilon team identified the need for better bayesian-methods solutions. Probabilistic-Programming-and-Bayesian-Methods-for-Hackers was created to simplify data-science workflows.
What can it do?Key use cases: jupyter-notebook, mathematical-analysis, pymc
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers | 官网 http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
🔗 github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers | 官网 http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/
Topics
bayesian-methodsdata-sciencejupyter-notebookmathematical-analysispymcstatistics