[PDF.51tq] Bandit Algorithms for Website Optimization: Developing, Deploying, and Debugging
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Bandit Algorithms for Website Optimization: Developing, Deploying, and Debugging
John Myles White
[PDF.bo03] Bandit Algorithms for Website Optimization: Developing, Deploying, and Debugging
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| #854280 in Books | O'Reilly Media | 2013-01-03 | 2012-12-31 | Original language:English | PDF # 1 | 9.19 x.23 x7.00l,.35 | File type: PDF | 88 pages | ||0 of 0 people found the following review helpful.| The code examples are nice and re-usable|By Otto|Not heavy on the theory.
The code examples are nice and re-usable. Web optimization is a nice context for an introduction RL or bandit algorithms.
I would recommend this as supplementary Reinforcement Learning Study material to get you in the practice of implementing what you learn.
For someone th|About the Author|
|John Myles White is a PhD candidate in Psychology at Princeton. He studies pattern recognition, decision-making, and economic behavior using behavioral methods and fMRI. He is particularly interested in anomalies of value assessment.
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.
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You easily download any file type for your gadget.Bandit Algorithms for Website Optimization: Developing, Deploying, and Debugging | John Myles White. A good, fresh read, highly recommended.
