Causality
Models, Reasoning and Inference. Ausgezeichnet: ACM Turing Award for Transforming Artificial Intelligence 2011
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Hodnocení knihy
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- 486 stránek
- 18 hodin čtení
Více o knize
The book delves into the evolution of causation from a vague concept to a robust mathematical theory, highlighting its applications across various disciplines such as statistics, AI, and economics. Judea Pearl integrates different approaches to causation, providing accessible mathematical tools for exploring causal relationships and statistical associations. This revised edition addresses complex issues and recent advancements, making it valuable for students and professionals alike. Pearl's significant contributions to AI research are also recognized, enhancing the book's credibility in the field.
Nákup knihy
Causality, Judea Pearl
- Jazyk
- Rok vydání
- 2010
- product-detail.submit-box.info.binding
- (pevná)
Doručení
Platební metody
Tady nám chybí tvá recenze.
- Titul
- Causality
- Podtitul
- Models, Reasoning and Inference. Ausgezeichnet: ACM Turing Award for Transforming Artificial Intelligence 2011
- Jazyk
- anglicky
- Autoři
- Judea Pearl
- Vydavatel
- Cambridge University Press
- Rok vydání
- 2010
- Vazba
- pevná
- Počet stran
- 486
- ISBN13
- 9780521895606
- Série
- Štítky
- Naučná literatura, Učebnice, Technologie & Průmysl, Filosofická tématika, Počítače & Internet, Věda, Učebnice matematiky, Umělá inteligence
- Hodnocení
- 4,15 z 5
- Anotace
- The book delves into the evolution of causation from a vague concept to a robust mathematical theory, highlighting its applications across various disciplines such as statistics, AI, and economics. Judea Pearl integrates different approaches to causation, providing accessible mathematical tools for exploring causal relationships and statistical associations. This revised edition addresses complex issues and recent advancements, making it valuable for students and professionals alike. Pearl's significant contributions to AI research are also recognized, enhancing the book's credibility in the field.