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Bandit Algorithms for Website Optimization
Developing, Deploying, and Debugging
Taschenbuch von John Myles White
Sprache: Englisch

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Beschreibung
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
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
Über den 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.

Details
Erscheinungsjahr: 2013
Fachbereich: Datenkommunikation, Netze & Mailboxen
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: 80 S.
ISBN-13: 9781449341336
ISBN-10: 1449341330
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: White, John Myles
Hersteller: O'Reilly Media
O'Reilly Media, Inc.
Verantwortliche Person für die EU: dpunkt.verlag GmbH, Vanessa Niethammer, Wieblinger Weg 17, D-69123 Heidelberg, hallo@dpunkt.de
Maße: 234 x 179 x 10 mm
Von/Mit: John Myles White
Erscheinungsdatum: 29.01.2013
Gewicht: 0,162 kg
Artikel-ID: 106320690
Über den 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.

Details
Erscheinungsjahr: 2013
Fachbereich: Datenkommunikation, Netze & Mailboxen
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: 80 S.
ISBN-13: 9781449341336
ISBN-10: 1449341330
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: White, John Myles
Hersteller: O'Reilly Media
O'Reilly Media, Inc.
Verantwortliche Person für die EU: dpunkt.verlag GmbH, Vanessa Niethammer, Wieblinger Weg 17, D-69123 Heidelberg, hallo@dpunkt.de
Maße: 234 x 179 x 10 mm
Von/Mit: John Myles White
Erscheinungsdatum: 29.01.2013
Gewicht: 0,162 kg
Artikel-ID: 106320690
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