Bandit Algorithms for Website Optimization - Programming版

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Programming版 - Bandit Algorithms for Website Optimization

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r*****3
发帖数: 143

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.
Released：2012.12
Download：
http://adf.ly/RKZmL

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相关话题的讨论汇总
话题: algorithms话题: bandit话题: website话题: changes

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