English | 2022 | ISBN: 1617298158, 978-1119417514 | 211 pages | True PDF | 7.46 MB
Learn practical and modern expental methods used by eeers in technology and trading.
Expentation for Eeers: From A/B testing to Bayesian optimization is a toolbox for optimizing machine learning systems, quantitative trading strats, 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 Expentation for Eeers, you'll learn how to evaluate the changes you make to your system and ensure that your testing doesn't undee revenue or other business metrics. By the you're done, you'll be able to seamlessly deploy expents in production while avoiding common pitfalls.