Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing - Brossura

Kohavi, Ron

Brossura

ISBN 10: 1108724264 ISBN 13: 9781108724265

Casa editrice: Cambridge University Press, 2020

Riassunto

This practical guide for students, researchers and practitioners offers real world guidance for data-driven decision making and innovation.

Su questo libro

Informazioni sugli autori

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.

Diane Tang is a Google Fellow, with expertise in large-scale data analysis and infrastructure, online controlled experiments, and ads systems. She has an A.B. from Harvard and an M.S./Ph.D. from Stanford University, with patents and publications in mobile networking, information visualization, experiment methodology, data infrastructure, data mining, and large data.

Ya Xu heads Data Science and Experimentation at LinkedIn. She has published several papers on experimentation and is a frequent speaker at top-tier conferences and universities. She previously worked at Microsoft and received her Ph.D. in Statistics from Stanford University.

Dettagli dell?edizione

• Editore: Cambridge University Press
• Data di pubblicazione: 2020
• ISBN 10: 1108724264
• ISBN 13: 9781108724265
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero di pagine: 290
• Contatto del produttore: non disponibile