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Bandit Algorithms for Website Optimization (Paperback)

Bandit Algorithms for Website Optimization (Paperback)

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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...
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From BMV by SHOP.COM Marketplace :
Bandit Algorithms for Website Optimization (Paperback)
Bandit Algorithms for Website Optimization
Item 9781449341336
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
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Bandit Algorithms for Website Optimization (Paperback)
Bandit Algorithms for Website Optimization by White, John Myles [Paperback]
Item UBM9781449341336
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 *Author: White, John Myles *Binding Type: Paperback *Number of Pages: 88 *Publication Date: 2013/01/03 *Language: English *Dimensions: 9.07 x 6.99 x 0.23 inches
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Product Info

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

Bandit Algorithms for Website Optimization (Paperback)
General
ISBN

9781449341336

Fiction/Non-Fiction

Non-Fiction

Publisher

Oreilly & Associates Inc

Pages

73

List Price

$19.99

Author

White, John Myles

Publication Date

12/31/2012

Release Status

In Print

Format

Paperback

Language

English

Measurements

Height: 9 Inches (US)

Width: 7 Inches (US)

Thickness: 0.5 Inches (US)

Unit Weight: 0.36 Pounds (US)

Edition Number

1

 
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