By John Myles White
John Myles White, "Bandit Algorithms for web site Optimization"
2013 | ISBN-10: 1449341330 | writer: OReilly Media | MOBI | 88 pages | 7 + four MB
When searching for how you can enhance your web site, how do you opt which alterations to make? And which alterations to maintain? This concise publication indicates you ways to take advantage of Multiarmed Bandit algorithms to degree the real-world worth of any ameliorations you're making for your website. writer John Myles White exhibits you ways this strong type of algorithms might help increase web site site visitors, convert viewers to shoppers, and raise many different measures of success.
This is the 1st developer-focused e-book on bandit algorithms, that have been formerly defined merely in learn papers. Youâll speedy research the advantages of a number of basic algorithmsâincluding the epsilon-Greedy, Softmax, and top self belief certain (UCB) algorithmsâby operating via code examples written in Python, that you may simply adapt for deployment by yourself website.
Learn the fundamentals of A/B testingâand realize while itâs larger to take advantage of bandit algorithms
Develop a unit checking out framework for debugging bandit algorithms
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