PDF->Bandit Algorithms for Website Optimization Writen - John Myles White

BOOK PDF Bandit Algorithms for Website Optimization

By : John Myles White

 pdf download Bandit Algorithms for Website Optimization

Mediafire | Google Drive

Book Synopsis :

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 algorithmsDevelop a unit testing framework for debugging bandit algorithmsGet additional code

Book Detail :

Author : John Myles White

Pages : 88 pages

Publisher : O'Reilly Media

Language :

ISBN-10 : 1449341330

ISBN-13 : 9781449341336

 
Supporting format: PDF, EPUB, Kindle, Audio, MOBI, HTML, RTF, TXT, etc.
Supporting : PC, Android, Apple, Ipad, Iphone, etc.
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