Bandit Algorithms for Website Optimization: Developing, Deploying, and Debugging
Language: English
Published by O'Reilly Media, 2013
- Softcover
- Used
Seller: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.ThriftBooks-Atlanta
AbeBooks seller since March 24, 2009
Condition: Used - Very good
US$ 7.69
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Add to basketItem description from seller
Seller Inventory # G1449341330I4N00
- Title
- Bandit Algorithms for Website Optimization: Developing, Deploying, and Debugging
- Author
- White, John Myles
- Publisher
- O'Reilly Media
- Publication year
- 2013
- Condition
- Very Good
- Dust jacket
- No Jacket
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1449341330
- ISBN 13
- 9781449341336
- Item weight
- 0.4 pounds
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.
About the Author
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ThriftBooks-Atlanta
AUSTELL, GA, U.S.A.
AbeBooks seller since March 24, 2009
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