This practical guide for students, researchers and practitioners offers real world guidance for data-driven decision making and innovation.
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Ron Kohavi is a Technical Fellow and corporate VP of Microsoft's Analysis and Experimentation, and was previously director of data mining and personalization at Amazon. He received his Ph.D. in Computer Science from Stanford University. His papers have over 40,000 citations and three of them are in the top 1,000 most-cited papers in Computer Science.
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Paperback. Zustand: Very Good. 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. Artikel-Nr. 00109252997
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9781108724265
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Zustand: gut. 2020. Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing In englischer Sprache. pages. Artikel-Nr. BN347629
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