Getting numbers is easy; getting numbers you can trust is hard. This practical guide by experimentation leaders at Google, LinkedIn, and Microsoft will teach you how to accelerate innovation using trustworthy online controlled experiments, or A/B tests. Based on practical experiences at companies that each run more than 20,000 controlled experiments a year, the authors share examples, pitfalls, and advice for students and industry professionals getting started with experiments, plus deeper dives into advanced topics for practitioners who want to improve the way they make data-driven decisions. Learn how to • Use the scientific method to evaluate hypotheses using controlled experiments • Define key metrics and ideally an Overall Evaluation Criterion • Test for trustworthiness of the results and alert experimenters to violated assumptions • Build a scalable platform that lowers the marginal cost of experiments close to zero • Avoid pitfalls like carryover effects and Twyman's law • Understand how statistical issues play out in practice.
發表於2025-02-03
Trustworthy Online Controlled Experiments 2025 pdf epub mobi 電子書 下載
圖書標籤: A/B測試 數據科學 Data 數學和計算機 Experimentation 心理學 實驗設計 Statistics
A/B testing比網絡瞎講的tutorial好太多瞭
評分A/B testing比網絡瞎講的tutorial好太多瞭
評分A/B testing 從入門到精通
評分A/B testing 從入門到精通
評分A/B testing 從入門到精通
Trustworthy Online Controlled Experiments 2025 pdf epub mobi 電子書 下載