{"product_id":"bandit-algorithms-for-website-optimization-developing-deploying-and-debugging-9781449341336","title":"Bandit Algorithms for Website Optimization: Developing, Deploying, and Debugging","description":"\u003cp\u003eWhen 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. \u003c\/p\u003e\u003cp\u003eThis 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. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eLearn the basics of A\/B testing--and recognize when it's better to use bandit algorithms \u003c\/li\u003e\n\u003cli\u003eDevelop a unit testing framework for debugging bandit algorithms \u003c\/li\u003e\n\u003cli\u003eGet additional code examples written in Julia, Ruby, and JavaScript with supplemental online materials \u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e John Myles White\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e O'Reilly Media\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 01\/29\/2013\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 85\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.35lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.07h x 6.99w x 0.23d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781449341336\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eJohn 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.\u003c\/p\u003e\u003cbr\u003e","brand":"O'Reilly Media","offers":[{"title":"Paperback","offer_id":44923860877427,"sku":"9781449341336","price":32.06,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/files\/img_c0c27a64-36d9-40db-bdf7-9f568ee579c2.jpg?v=1778002454","url":"https:\/\/bookstorenmore.com\/products\/bandit-algorithms-for-website-optimization-developing-deploying-and-debugging-9781449341336","provider":"Bookstore N More","version":"1.0","type":"link"}