Experimentation For Engineers Meap V08 All 8 Chapters David Sweet by David Sweet 9781617298158, 1617298158 instant download after payment.

Learn practical and modern experimental methods used by engineers in technology and trading. Tuning Up: 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 Tuning Up, 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.
 
In Experimentation for Engineers: From A/B testing to Bayesian optimization you will learn how to:
• Design, run, and analyze an A/B test
• Break the "feedback loops" cause by periodic retraining of ML models
• Increase experimentation rate with multi-armed bandits
• Tune multiple parameters experimentally with Bayesian optimization
• Clearly define business metrics used for decision making
• Identify and avoid the common pitfalls of experimentation