ENGLISH

Bandit Algorithms for Website Optimization

Book information

Year
2012
ISBN
9781449341336
Language
english
Format
EPUB
Filesize
4 MB (4083011 bytes)
Edition
1
Pages
87\0
Scanned
yes
Time added
2013-01-06 22:50:10

Description

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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