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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