{"title":"Judea Pearl","description":"\u003cp\u003eJudea Pearl is a highly respected name in the realm of artificial intelligence and statistics, known for his pioneering work in the field of causal inference. His contributions have fundamentally reshaped our understanding of causality, making complex concepts accessible to students, professionals, and enthusiasts alike.\u003c\/p\u003e\n\n\u003cp\u003eDive into books like \u003cem\u003eCausal Inference in Statistics\u003c\/em\u003e and \u003cem\u003eThe Book of Why\u003c\/em\u003e, where Pearl simplifies the intricacies of reasoning with causality and statistical data. These works are essential reads for anyone in the Science \u0026amp; Nature category, offering profound insights into how we interpret the world through the lens of causation.\u003c\/p\u003e\n\n\u003cp\u003eWhether you're a novice or an expert, Judea Pearl's books serve as invaluable resources for deepening your comprehension of how statistical methods can reveal the cause-and-effect relationships that govern our universe. Explore this collection to enhance your understanding of one of the most captivating areas of contemporary science.\u003c\/p\u003e","products":[{"product_id":"the-book-of-why","title":"The Book of Why","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003ci\u003eThe Book of Why\u003c\/i\u003e 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.\u003c\/p\u003e\n\n\u003cp\u003eThroughout 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.\u003c\/p\u003e\n\n\u003cp\u003eEngaging and insightful, \u003ci\u003eThe Book of Why\u003c\/i\u003e 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.\u003c\/p\u003e\n\n\u003cp\u003eWith 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, \u003ci\u003eThe Book of Why\u003c\/i\u003e 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.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Penguin Random House NZ","offers":[{"title":"Default Title","offer_id":45692374876396,"sku":"9780141982410","price":30.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/b866795d6268490cabcf8dd38e61faed.jpg?v=1794520300"},{"product_id":"causal-inference-in-statistics-by-madelyn-glymour-9781119186847","title":"Causal Inference in Statistics","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cem\u003eCausal Inference in Statistics\u003c\/em\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eA Primer\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp\u003eCausality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as \"Does this treatment harm or help patients?\" However, despite the availability of hundreds of introductory texts on statistical methods of data analysis, until now, no beginner-level book has existed that addresses the growing array of methods for extracting causal information from data.\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003eCausal Inference in Statistics\u003c\/em\u003e fills that gap. Through simple examples and plain language, the book explains how to define causal parameters, the assumptions required to estimate them in various situations, how to express these assumptions mathematically, whether they have testable implications, how to predict the effects of interventions, and how to reason counterfactually. These are essential tools for any student of statistics aiming to use statistical methods to answer causal questions of interest.\u003c\/p\u003e\n\n\u003cp\u003eThis book is accessible to anyone interested in interpreting data, including undergraduates, professors, researchers, and even the curious layperson. Examples span a diverse range of fields, such as medicine, public policy, and law. A brief introduction to probability and statistics is provided for newcomers, and each chapter includes study questions to reinforce the reader's understanding.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"John Wiley and Sons Ltd","offers":[{"title":"Default Title","offer_id":46854214811884,"sku":"9781119186847","price":75.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/12815533482586.jpg?v=1759237683"}],"url":"https:\/\/bookhero.pro\/collections\/judea-pearl.oembed","provider":"Book Hero","version":"1.0","type":"link"}