Bandit Algorithms for Website Optimization : Developing, Deploying, and Debugging
Language: English
Published by O'reilly Media Jan 2013, 2013
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 26.88
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Add to basketItem description from seller
Neuware - When looking for ways to improve your website, how do you decide which changes to make And which changes to keep This concise book shows you how to use Multiarmed Bandit algorithms to measure the real-world value of any modifications you make to your site. Author John Myles White shows you how this powerful class of algorithms can help you boost website traffic, convert visitors to customers, and increase many other measures of success.This is the first developer-focused book on bandit algorithms, which were previously described only in research papers. You'll quickly learn the benefits of several simple algorithms - including the epsilon-Greedy, Softmax, and Upper Confidence Bound (UCB) algorithms - by working through code examples written in Python, which you can easily adapt for deployment on your own website. Learn the basics of A/B testing - and recognize when it's better to use bandit algorithms Develop a unit testing framework for debugging bandit algorithms Get additional code examples written in Julia, Ruby, and JavaScript with supplemental online materials.…
Seller Inventory # 9781449341336
- Title
- Bandit Algorithms for Website Optimization : Developing, Deploying, and Debugging
- Author
- John Myles White
- Publisher
- O'reilly Media Jan 2013
- Publication year
- 2013
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1449341330
- ISBN 13
- 9781449341336
- Item weight
- 162 grams
- Dimensions
- 234x179x10 mm
When looking for ways to improve your website, how do you decide which changes to make? And which changes to keep? This concise book shows you how to use Multiarmed Bandit algorithms to measure the real-world value of any modifications you make to your site. Author John Myles White shows you how this powerful class of algorithms can help you boost website traffic, convert visitors to customers, and increase many other measures of success.
This is the first developer-focused book on bandit algorithms, which were previously described only in research papers. You’ll quickly learn the benefits of several simple algorithms—including the epsilon-Greedy, Softmax, and Upper Confidence Bound (UCB) algorithms—by working through code examples written in Python, which you can easily adapt for deployment on your own website.
Learn the basics of A/B testing—and recognize when it’s better to use bandit algorithms Develop a unit testing framework for debugging bandit algorithms Get additional code examples written in Julia, Ruby, and JavaScript with supplemental online materials"Synopsis" may belong to another edition of this title.
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