Book,
Bayesian Methods for Hackers : Probabilistic Programming and Bayesian Inference
Addison-Wesley Data and Analytics Series Addison-Wesley, New York, (2016)
Abstract
The next generation of problems will not have deterministic solutions – the solutions will be statistical that rely on mountains, or mounds, of data. Bayesian methods offer a very flexible and extendible framework to solve these types of problems. For programming students with minimal background in mathematics, this example-heavy guide emphasizes the new technologies that have allowed the inference to be abstracted from complicated underlying mathematics. Using Bayesian Methods for Hackers, students can start leveraging powerful Bayesian tools right now -- gradually deepening their theoretical knowledge while already achieving powerful results in areas ranging from marketing to finance.
Tags
- 62-04-statistics-software-source-code
- 62-08-computational-methods-for-problems-for-statistics
- 62f15-bayesian-inference
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Comments and Reviewsshow / hide
- @gdmcbain 7 months agoThis is a fantastic book. I bought a bunch of Bayesian texts and decided to read this one first and I'm glad I did. I must say though that the publisher of the dead-tree edition that I bought has really let the author down. The typesetting is woeful, very faint and hard to read and the excellently designed and prepared matplotlib figures and ruined by greyscale reproduction! Many have indistinguishable grey curves!