ler totalmente Bandit Algorithms for Website Optimization: Developing, Deploying, and Debugging

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

Procurando Bandit Algorithms for Website Optimization: Developing, Deploying, and Debugging? Aqui você encontra tudo sobre este livro de John Myles White, publicado por O'Reilly Media em 29 de janeiro de 2013. Nesta página estão a descrição da obra, os detalhes da edição (88 páginas) e os formatos disponíveis para baixar: pdf, epub, txt, djvu. Se você gosta de Livros Internacionais, Computação, Informática e Mídias Digitais, Programação, Algoritmos, explore também outros títulos da mesma categoria no Encontrando os melhores livros. Veja ainda as outras obras de John Myles White em nosso catálogo.