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Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference
book

Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference

by Cameron Davidson-Pilon
October 2015
Beginner to intermediate content levelBeginner to intermediate
300 pages
7h 19m
English
Addison-Wesley Professional
Content preview from Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference

1. The Philosophy of Bayesian Inference

1.1 Introduction

You are a skilled programmer, but bugs still slip into your code. After a particularly difficult implementation of an algorithm, you decide to test your code on a trivial example. It passes. You test the code on a harder problem. It passes once again. And it passes the next, even more difficult, test too! You are starting to believe that there may be no bugs in this code. . .

If you think this way, then congratulations: You already are thinking Bayesian! Bayesian inference is simply updating your beliefs after considering new evidence. A Bayesian can rarely be certain about a result, but he or she can be very confident. Just like in the example above, we can never be 100% sure that our ...

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Publisher Resources

ISBN: 9780133902914Purchase book