English | 2022 | ISBN: ‎ 1617298158, 978-1119417514 | 211 pages | True PDF | 7.46 MB

Learn practical and modern experimental methods used by engineers in technology and trading.
Experimentation for Engineers: From A/B testing to Bayesian optimization is a toolbox for optimizing machine learning systems, quantitative trading strategies, and more. You'll start with a deep dive into tests like A/B testing, and then graduate to advanced techniques used to measure performance in highly competitive industries like finance and social media. The tests in this unique, practical guide will quickly reveal which approaches and features deliver real results for your business.
In Experimentation for Engineers, you'll learn how to evaluate the changes you make to your system and ensure that your testing doesn't undermine revenue or other business metrics. By the time you're done, you'll be able to seamlessly deploy experiments in production while avoiding common pitfalls.