Download Bandit Algorithms for Website Optimization: Developing, by John Myles White PDF

By John Myles White

When trying to find how one can increase your web site, how do you choose which adjustments to make? And which alterations to maintain? This concise e-book indicates you ways to take advantage of Multiarmed Bandit algorithms to degree the real-world price of any adjustments you are making on your web site. writer John Myles White exhibits you the way this strong classification of algorithms might actually help advance web site site visitors, convert viewers to buyers, and bring up many different measures of success.

This is the 1st developer-focused ebook on bandit algorithms, that have been formerly defined purely in examine papers. You’ll speedy study some great benefits of numerous easy algorithms—including the epsilon-Greedy, Softmax, and top self belief certain (UCB) algorithms—by operating via code examples written in Python, that you may simply adapt for deployment by yourself website.

  • Learn the fundamentals of A/B testing—and realize whilst it’s greater to exploit bandit algorithms
  • Develop a unit checking out framework for debugging bandit algorithms
  • Get extra code examples written in Julia, Ruby, and JavaScript with supplemental on-line materials

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