Author/Creator: Cameron Davidson-Pilon
Curated By: Jonas Hartmann
Language: python
Field(s): Bayesian, Statistics, Inference, Markov chain Monte Carlo
URL: https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
Description
This is an excellent, comprehensive and accessible introduction to Bayesian principles and methodologies, which prioritizes understanding and application over the underlying maths. The many examples and exercises are in pure python, making heavy use of the PyMC module. Highly recommended if you already know your way around python and want to expand your statistics & data analysis skills with the vast and powerful toolbox that is Bayesian statistics.Level: Intermediate, Advanced
Format: Online (browser-based)
Time Required: unknown, presumably 30+ hours
Prerequisites: solid python knowledge, basic statistics/data analysis knowledge recommended
Access: free
Last Curated: 31.07.2016
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