Bandit Algorithms for Website Optimization

Developing, Deploying, and Debugging

Nonfiction, Computers, Programming, Programming Languages, General Computing
Cover of the book Bandit Algorithms for Website Optimization by John Myles White, O'Reilly Media
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Author: John Myles White ISBN: 9781449341589
Publisher: O'Reilly Media Publication: December 10, 2012
Imprint: O'Reilly Media Language: English
Author: John Myles White
ISBN: 9781449341589
Publisher: O'Reilly Media
Publication: December 10, 2012
Imprint: O'Reilly Media
Language: English

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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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