Bandit Algorithms for Website Optimization: Developing, Deploying, and Debugging - Tapa blanda

White, John Myles

 
9781449341336: Bandit Algorithms for Website Optimization: Developing, Deploying, and Debugging
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ISBN 10: 1449341330 ISBN 13: 9781449341336
Editorial: O'Reilly Media, 2013

Sinopsis

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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Acerca del autor

John Myles White is a PhD candidate in Psychology at Princeton. He studies pattern recognition, decision-making, and economic behavior using behavioral methods and fMRI. He is particularly interested in anomalies of value assessment.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
O'Reilly Media
Año de publicación
2013
Idioma
Inglés
ISBN 10 
1449341330
ISBN 13 
9781449341336
Encuadernación
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Número de edición
1
Número de páginas
85
Contacto del fabricante
O'Reilly
https://oreilly.com

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Otras ediciones populares con el mismo título

9789350239735: BANDIT ALGORITHMS FOR WEBSITE OPTIMIZATION [Paperback] [Jan 25, 2013] WHITE

Edición Destacada

ISBN 10:  9350239736 ISBN 13:  9789350239735
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