Bandit Algorithms for Website Optimization

Bandit Algorithms for Website Optimization
-0 %
Der Artikel wird am Ende des Bestellprozesses zum Download zur Verfügung gestellt.
Developing, Deploying, and Debugging
 EPUB
Sofort lieferbar | Lieferzeit: Sofort lieferbar

Unser bisheriger Preis:ORGPRICE: 14,40 €

Jetzt 14,39 €* EPUB

Artikel-Nr:
9781449341589
Veröffentl:
2012
Einband:
EPUB
Seiten:
88
Autor:
John Myles White
eBook Typ:
EPUB
eBook Format:
EPUB
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
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. Youll quickly learn the benefits of several simple algorithmsincluding the epsilon-Greedy, Softmax, and Upper Confidence Bound (UCB) algorithmsby working through code examples written in Python, which you can easily adapt for deployment on your own website.Learn the basics of A/B testingand recognize when its better to use bandit algorithmsDevelop a unit testing framework for debugging bandit algorithmsGet 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. Youll quickly learn the benefits of several simple algorithmsincluding the epsilon-Greedy, Softmax, and Upper Confidence Bound (UCB) algorithmsby working through code examples written in Python, which you can easily adapt for deployment on your own website.Learn the basics of A/B testingand recognize when its better to use bandit algorithmsDevelop a unit testing framework for debugging bandit algorithmsGet additional code examples written in Julia, Ruby, and JavaScript with supplemental online materials

Kunden Rezensionen

Zu diesem Artikel ist noch keine Rezension vorhanden.
Helfen sie anderen Besuchern und verfassen Sie selbst eine Rezension.