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PDF Download Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing Full Description

EBOOK [P.D.F] Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing Read Online Details Details Product: 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 Author: Language: English Format: PDF / EPUB / MOBI E-Books are now available on this website Works on PC, iPad, Android, iOS, Tablet, MAC) THE BEST & MORE SELLER Discover a new world at your fingertips with our wide selection of books online. Our online bookstore features the latest books, eBooks and audio books from best-selling authors, so you can click through our aisles to browse titles & genres that make jaws fall in love with adults, teens and children. Find the perfect book for you today

EBOOK [P.D.F] Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing Read Online Details

Details Product: 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
Author:
Language: English
Format: PDF / EPUB / MOBI
E-Books are now available on this website
Works on PC, iPad, Android, iOS, Tablet, MAC)


THE BEST & MORE SELLER
Discover a new world at your fingertips with our wide selection of books online. Our online bookstore features the latest books, eBooks and audio books from best-selling authors, so you can click through our aisles to browse titles & genres that make jaws fall in love with adults, teens and children. Find the perfect book for you today

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Description PDF Download Trustworthy Online

Controlled Experiments: A Practical Guide to A/B

Testing Full 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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