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paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Language: English
Published by O'Reilly Media, Incorporated, 2012
ISBN 10: 1449341330 ISBN 13: 9781449341336
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Language: English
Published by O'Reilly Media 1/3/2013, 2013
ISBN 10: 1449341330 ISBN 13: 9781449341336
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Bandit Algorithms for Website Optimization: Developing, Deploying, and Debugging. Book.
Paperback. Condition: New. This book shows you how to run experiments on your website using A/B testing - and then takes you a huge step further by introducing you to bandit algorithms for website optimization. Author John Myles White shows you how this family 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 have previously only been described in research papers. You'll learn about several simple algorithms you can deploy on your own websites to improve your business including the epsilon-greedy algorithm, the UCB algorithm and a contextual bandit algorithm. All of these algorithms are implemented in easy-to-follow Python code and be quickly adapted to your business's specific needs. You'll also learn about a framework for testing and debugging bandit algorithms using Monte Carlo simulations, a technique originally developed by nuclear physicists during World War II. Monte Carlo techniques allow you to decide whether A/B testing will work for your business needs or whether you need to deploy a more sophisticated bandits algorithm.
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Seller: Greener Books, London, United Kingdom
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Softcover. Condition: Bon. Petite(s) trace(s) de pliure sur la couverture. Pages cornées. Edition 2012. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Slightly creased cover. Dog-eared pages. Edition 2012. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Language: English
Published by O'Reilly Media, Inc, USA, 2013
ISBN 10: 1449341330 ISBN 13: 9781449341336
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by Oreilly & Associates Inc, 2012
ISBN 10: 1449341330 ISBN 13: 9781449341336
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 1st edition. 73 pages. 9.00x7.00x0.50 inches. In Stock.
Paperback. Condition: New. This book shows you how to run experiments on your website using A/B testing - and then takes you a huge step further by introducing you to bandit algorithms for website optimization. Author John Myles White shows you how this family 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 have previously only been described in research papers. You'll learn about several simple algorithms you can deploy on your own websites to improve your business including the epsilon-greedy algorithm, the UCB algorithm and a contextual bandit algorithm. All of these algorithms are implemented in easy-to-follow Python code and be quickly adapted to your business's specific needs. You'll also learn about a framework for testing and debugging bandit algorithms using Monte Carlo simulations, a technique originally developed by nuclear physicists during World War II. Monte Carlo techniques allow you to decide whether A/B testing will work for your business needs or whether you need to deploy a more sophisticated bandits algorithm.
Condition: New. This book shows you how to run experiments on your website using A/B testing - and then takes you a huge step further by introducing you to bandit algorithms for website optimization.When looking for ways to improve your website, how do you decide which.
Language: English
Published by O'reilly Media Jan 2013, 2013
ISBN 10: 1449341330 ISBN 13: 9781449341336
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware - 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.
Language: English
Published by Oreilly & Associates Inc, 2012
ISBN 10: 1449341330 ISBN 13: 9781449341336
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 1st edition. 73 pages. 9.00x7.00x0.50 inches. In Stock. This item is printed on demand.
Language: English
Published by O'Reilly Media, Inc, USA, 2013
ISBN 10: 1449341330 ISBN 13: 9781449341336
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
£ 22.31
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.