Description: 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.
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EAN: 9781108724265
UPC: 9781108724265
ISBN: 9781108724265
MPN: N/A
Book Title: Trustworthy Online Controlled Experiments: A Pract
Item Length: 22.6 cm
Item Height: 226 mm
Item Width: 152 mm
Author: Diane Tang, Ron Kohavi, Ya Xu
Publication Name: Trustworthy Online Controlled Experiments: a Practical Guide to A/B Testing
Format: Paperback
Language: English
Publisher: Cambridge University Press
Subject: Computer Science, Management, Marketing
Publication Year: 2020
Type: Textbook
Item Weight: 400 g
Number of Pages: 288 Pages
