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.
N37b is a survivor—one of roughly two hundred people in New Zealand who survives the Event, in which the undead rise as zombies and slaughter their way across the world. An oddity in this postapocalyptic landscape, N37b is a loner by preference. A highly intelligent, unfit, and unmotivated sociopath, he makes his way on his own based in a small…
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
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