The Book of Why
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The Book of Why
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The Book of Why
The Book of Why by Judea Pearl and Dana Mackenzie is a groundbreaking exploration into the realm of causality, perfectly blending the intricate worlds of artificial intelligence, statistics, and philosophy. The book delves into the revolutionary ideas that have reshaped modern science and offers readers a remarkable journey through the study of cause and effect. At its heart, it addresses one of the most fundamental questions: Why do things happen? Pearl, a pioneer in artificial intelligence, alongside science journalist Mackenzie, unravels the mysteries of causality, presenting complex concepts in an accessible narrative that appeals to both scientific minds and curious general readers.
Throughout the book, Pearl and Mackenzie illustrate how the traditional scientific mantra, "Correlation does not imply causation", has, for decades, prevented researchers from fully understanding and interpreting the intricate dance between cause and effect. This cautious stance has impeded the potential to uncover deeper truths about the links between variables, such as the relationship between smoking and cancer, or carbon dioxide levels and global warming. However, the causal revolution that Pearl initiated has challenged and dismantled this taboo, offering new, robust methods to discern causative relationships.
Engaging and insightful, The Book of Why serves not only as a comprehensive guide to the revolutionary scientific principles that Pearl and his colleagues have developed but also as a thought-provoking inquiry into the way we perceive the world. Pearl's framework for causal inference has provided artificial intelligence with the tools to simulate the human-like capacity to think and reason more effectively. But the implications extend far beyond AI; they offer profound insights into our ability to reason about the world, make informed decisions, and envision alternative scenarios.
With illustrative examples and carefully crafted explanations, the book takes readers through the history of causality, from its philosophical roots to its practical applications in various scientific domains. Whether you are a scientist, a student, or simply someone with a keen interest in understanding the principles that underpin cause and effect, The Book of Why provides the knowledge and tools to think more clearly and deeply about causation. It is a testament to the power of causal thinking and its essential role in both human and artificial intelligence.
Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?
The Book of Why is praised for its illuminating answers on the puzzles of correlation and causation, making it fun to read. Esteemed figures like Daniel Kahneman and Pedro Domingos commend it for explaining how the world works from a causal perspective, while others highlight Judea Pearl's revolutionary impact on artificial intelligence and computer science.
Book Details
INFORMATION
ISBN: 9780141982410
Publisher: Penguin Books Ltd
Format: Paperback / softback
Date Published: 02 May 2019
Country: United Kingdom
Imprint: Penguin Books Ltd
Audience: General / adult, Tertiary education, Professional and scholarly
DIMENSIONS
Spine width: 24.0mm
Width: 129.0mm
Height: 198.0mm
Weight: 315g
Pages: 432
About the Author
Judea Pearl (Author) Judea Pearl is a world-renowned Israeli-American computer scientist and philosopher, known for his world-leading work in AI and the development of Bayesian networks, as well as his theory of causal and counterfactual inference. In 2011, he won the most prestigious award in computer science, the Alan Turing Award. He has also received the Rumelhart Prize (Cognitive Science Society), the Benjamin Franklin Medal (Franklin Institute) and the Lakatos Award (London School of Economics), and he is the founder and president of the Daniel Pearl Foundation. Dana Mackenzie, a Ph.D. mathematician turned science writer, has written for such magazines as Science, New Scientist, and Discover.
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