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Published by O'Reilly Media (edition 1), 2023
ISBN 10: 1098140257 ISBN 13: 9781098140250
Language: English
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Published by Oreilly & Associates Inc, 2023
ISBN 10: 1098140257 ISBN 13: 9781098140250
Language: English
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Add to basketPaperback. Condition: Brand New. 400 pages. 9.19x7.00x1.10 inches. In Stock.
Published by O'Reilly Media, Incorporated, 2023
ISBN 10: 1098140257 ISBN 13: 9781098140250
Language: English
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Add to basketCondition: New. Idioma/Language: Inglés. How many buyers will an additional dollar of online marketing bring in? Which customers will only buy when given a discount coupon? How do you establish an optimal pricing strategy? The best way to determine how the levers at our disposal affect the business metrics we want to drive is through causal inference. In this book, author Matheus Facure, senior data scientist at Nubank, explains the largely untapped potential of causal inference for estimating impacts and effects. Managers, data scientists, and business analysts will learn classical causal inference methods like randomized control trials (A/B tests), linear regression, propensity score, synthetic controls, and difference-in-differences. Each method is accompanied by an application in the industry to serve as a grounding example. With this book, you will: Learn how to use basic concepts of causal inference Frame a business problem as a causal inference problem Understand how bias gets in the way of causal inference Learn how causal effects can differ from person to person Use repeated observations of the same customers across time to adjust for biases Understand how causal effects differ across geographic locations Examine noncompliance bias and effect dilution *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.
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Published by O'reilly Media Aug 2023, 2023
ISBN 10: 1098140257 ISBN 13: 9781098140250
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware - In this book, author Matheus Facure explains the untapped potential of causal inference for estimating impacts and effects.
Published by Oreilly & Associates Inc, 2023
ISBN 10: 1098140257 ISBN 13: 9781098140250
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
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