The Book of Why The New Science of Cause and Effect

□ I. THÔNG TIN SẢN PHẨM
□ Mã sản phẩm : STT1708
□ Nhà xuất bản : Basic Books
□ Tác giả : Judea Pearl and Dana Mackenzie
□ Ngôn ngữ : Tiếng Anh
□ ISBN : 978-0465097609
□ Số trang : 432 trang
□ Hình thức : Bìa Mềm, RUỘT IN ĐEN TRẮNG, BÌA IN MẪU LASER GIẤY C300 CÓ CÁN
□ Loại : Sách gia công đóng gáy keo chắc chắn chất lượng cao
□ Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và highlight thoải mái.
□ Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.

□ II. MÔ TẢ SẢN PHẨM
□ 1.Mô tả sản phẩm đầy đủ
The Book of Why: The New Science of Cause and Effect by Judea Pearl and Dana Mackenzie is a landmark work that introduces the "Causal Revolution" to a general audience. For over a century, scientists were shackled by the statistical dogma that "correlation is not causation," a rule that prevented them from asking direct questions about how one thing leads to another. In this book, Turing Award-winning computer scientist Judea Pearl argues that this prohibition was a profound mistake that stalled scientific progress. Pearl, along with science writer Dana Mackenzie, explains how he and his colleagues broke this taboo by creating a new mathematical language to describe cause and effect. The narrative centers on the "Ladder of Causation," a three-level hierarchy of cognitive abilities. The first rung is Association, involving the recognition of patterns (e.g., "if I see the barometer fall, it will rain"). The second is Intervention, involving action (e.g., "if I take this aspirin, will my headache go away?"). The third and highest rung is Counterfactuals, involving imagination and reflection (e.g., "what would have happened if I hadn't taken the aspirin?"). Pearl explains that while modern machine learning and "Big Data" are incredibly powerful at the first rung, they lack the ability to ascend higher. To create truly intelligent machines, we must teach them the logic of cause and effect. Throughout the book, the authors use historical anecdotes and real-world examples—ranging from the decades-long debate over whether smoking causes lung cancer to the complexities of climate change—to show how causal models provide clarity. They introduce "path diagrams," which allow researchers to visualize and calculate the impact of specific variables while ignoring irrelevant noise. By mastering these tools, scientists can conduct "virtual experiments" and make sense of data that was previously considered uninterpretable. The Book of Why is an essential read for anyone who wants to understand how the world truly works. It is a brilliant blend of history, philosophy, and science that not only redefines our understanding of statistics but also offers a blueprint for the future of artificial intelligence and human thought.

□ 2. Tác giả
Judea Pearl is a professor of computer science and statistics and director of the Cognitive Systems Laboratory at UCLA. He is a member of the National Academy of Sciences and a winner of the 2011 Turing Award, the most prestigious prize in computer science, for his work on artificial intelligence and causal reasoning. Dana Mackenzie is a PhD mathematician turned science writer. He has written for prominent publications such as Science, New Scientist, and Scientific American, and is the author of several books, including The Universe in Zero Words.