Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference

Foreword

Bayesian methods are one of many in a modern data scientist’s toolkit. They can be used to solve problems in prediction, classification, spam detection, ranking, inference, and many other tasks. However, most of the material out there on Bayesian statistics and inference focuses on the mathematical details while giving little attention to the more pragmatic engineering considerations. That’s why I’m very pleased to have this book joining the series, bringing a much needed introduction to Bayesian methods targeted at practitioners.

Cameron’s knowledge of the topic and his focus on tying things back to tangible examples make this book a great introduction for data scientists or regular programmers looking to learn about Bayesian methods. ...