Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference, 1st edition

Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference

ISBN-13:  9780133902839

The first example-driven guide to Bayesian programming: requires less mathematical knowledge than any other guide

• Master Bayesian techniques that will play an increasingly crucial role in every data scientist's toolkit
• Solve statistically-based problems relying on mountains of data
• Learn through realistic (non-toy) examples built with the Python PyMC library, including start-to-finish application case studies
• Gain an intuitive understanding of key concepts such as clustering, convergence, autocorrelation, and thinning
• A thorough revamping and extensive expansion of the author's early online version: new chapters, more detailed examples, and improvements based on extensive reader feedback