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What Is Causal Inference? /
Causal inference lies at the heart of our ability to understand why things happen by helping us predict the result of any action. This process is vital for businesses that aspire to turn data and information into valuable knowledge. With this report, data scientists and analysts will learn a princip...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
O'Reilly Media, Inc.,
2022.
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| Edición: | 1st edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 245 | 1 | 0 | |a What Is Causal Inference? / |c Bowne-Anderson, Hugo. |
| 250 | |a 1st edition. | ||
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| 520 | |a Causal inference lies at the heart of our ability to understand why things happen by helping us predict the result of any action. This process is vital for businesses that aspire to turn data and information into valuable knowledge. With this report, data scientists and analysts will learn a principled way of thinking about causality using a suite of causal inference techniques now available. Authors Hugo Bowne-Anderson, a data science consultant, and Mike Loukides, vice president of content strategy at O'Reilly Media, introduce causality and discuss randomized control trials (RCTs), key aspects of causal graph theory, and well-needed techniques from econometrics. | ||
| 542 | |f Copyright © 2022 O'Reilly Media Inc. | ||
| 550 | |a Made available through: Safari, an O'Reilly Media Company. | ||
| 588 | 0 | |a Online resource; Title from title page (viewed January 25, 2022). | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Estimation theory. | |
| 650 | 0 | |a Conditional expectations (Mathematics) | |
| 650 | 0 | |a Effect sizes (Statistics) | |
| 650 | 0 | |a Acyclic models. | |
| 650 | 0 | |a Causation |x Mathematical models. | |
| 650 | 0 | |a Inference |x Mathematical models. | |
| 650 | 0 | |a R (Computer program language) | |
| 650 | 6 | |a Théorie de l'estimation. | |
| 650 | 6 | |a Espérances conditionnelles (Mathématiques) | |
| 650 | 6 | |a Ampleur de l'effet (Statistique) | |
| 650 | 6 | |a Modèles acycliques. | |
| 650 | 6 | |a Inférence (Logique) |x Modèles mathématiques. | |
| 650 | 6 | |a R (Langage de programmation) | |
| 650 | 7 | |a Acyclic models |2 fast | |
| 650 | 7 | |a Causation |x Mathematical models |2 fast | |
| 650 | 7 | |a Conditional expectations (Mathematics) |2 fast | |
| 650 | 7 | |a Effect sizes (Statistics) |2 fast | |
| 650 | 7 | |a Estimation theory |2 fast | |
| 650 | 7 | |a Inference |x Mathematical models |2 fast | |
| 650 | 7 | |a R (Computer program language) |2 fast | |
| 700 | 1 | |a Loukides, Mike, |e author. | |
| 710 | 2 | |a O'Reilly for Higher Education (Firm), |e distributor. | |
| 710 | 2 | |a Safari, an O'Reilly Media Company. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781098118990/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||