December 2012
Intermediate to advanced
88 pages
1h 58m
English
Content preview from Bandit Algorithms for Website OptimizationBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Preface
Finding the Code for This Book
This book is about algorithms. But it’s not a book about the theory of algorithms. It’s a short tutorial introduction to algorithms that’s targetted at people who like to learn about new ideas by experimenting with them in practice.
Because we want you to experiment, this book is meant to be read while you’re near an interpreter for your favorite programming language. In the text, we illustrate every algorithm we describe using Python. As part of the accompanying online materials, there is similar code available that implements all of the same algorithms in Julia, a new programming language that is ideally suited for implementing bandit algorithms. Alongside the Python and Julia code, there are also links to similar implementations in other languages like JavaScript.
We’ve chosen to use Python for this book because it seems like a reasonable lingua franca for programmers. If Python isn’t your style, you should be able to translate our Python code into your favorite programming language fairly easily.
Assuming you are happy using Python or Julia, you can find the code for the book on GitHub at https://github.com/johnmyleswhite/BanditsBook. If you find mistakes or would like to submit an implementation in another language, please make a pull request.
Dealing with Jargon: A Glossary
While this book isn’t meant to introduce you to the theoretical study of the Multiarmed Bandit Problem or to prepare you to develop novel algorithms for solving the problem, ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.