Bandit Algorithms for Website Optimization is popular PDF and ePub book, written by John White in 2013, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Bandit Algorithms for Website Optimization can be Read Online from any device for your convenience.
Bandit Algorithms for Website Optimization Book PDF Summary
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
Detail Book of Bandit Algorithms for Website Optimization PDF
- Author : John White
- Release : 20 September 2024
- Publisher : "O'Reilly Media, Inc."
- ISBN : 9781449341336
- Genre : Computers
- Total Page : 88 pages
- Language : English
- PDF File Size : 21,5 Mb
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