The Book of Why pdf epub mobi txt 電子書下載 2025

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Judea Pearl

Basic Books

2018-5-15

432

USD 32.00

Hardcover

9780465097609

圖書標籤: 統計邏輯方法論計算機因果哲學科普 AI

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发表于2025-03-04

The Book of Why epub 下載 mobi 下載 pdf 下載 txt 電子書下載 2025

The Book of Why pdf epub mobi txt 電子書下載 2025

圖書描述

A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence

“Correlation is not causation.” This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality–the study of cause and effect–on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl’s work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs The Book of Why.

The Book of Why 下載 mobi epub pdf txt 電子書

著者簡介

Judea Pearl is a professor of computer science at UCLA and winner of the 2011 Turing Award and the author of three classic technical books on causality. He lives in Los Angeles, California.

Dana Mackenzie is an award-winning science writer and the author of The Big Splat, or How Our Moon Came to Be. He lives in Santa Cruz, California.

圖書目錄

The Book of Why pdf epub mobi txt 電子書下載

想要找書就要到小哈圖書下載中心

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用戶評價

評分☆☆☆☆☆

每個人都是一部因果關係自動機。真要把人腦對因果的思維過程掰扯明白，還真是不容易。作者的因果模型，是把復雜問題簡單化的經典例子瞭。

評分☆☆☆☆☆

三星半。書名應該是The book of why data isn't everything. 因果關係定義或者說哲學基礎的缺乏使得所有討論顯得隻是在反駁數據的推崇者：沒有模型的統計不可能推導齣因果關係。一些技術的部分受限於科普的題材又講得不夠清楚，不如直接讀causality。

評分☆☆☆☆☆

科普，好看，推薦。（時隔好多年又重新學習學校裏講過的東西我的心情可以用沮喪來形容）（第一次讀評分10的書，激動）（背景音pulp）

評分☆☆☆☆☆

圖靈奬得主關於causality的科普讀物。中心主題就是causality，correlation不等價於causality，因果的概念對於人來說也非常自然，這也許是因為我們的大腦是基於這樣的基本概念來運作的。但是有點意外的是，根據書裏描述的曆史來看，人們是在最近一二十年纔真正把 causality 相關的概念嚴格地定義齣來並發展齣瞭相關的數學工具進行演算和推理，並且這個過程似乎由於受到傳統統計學“數據為王”，“correlation 為根本”的思想的無情打壓和排擠，顯得異常艱辛和漫長。我覺得強 AI 如果要實現的話肯定缺少不瞭 causality 這一環，不過要學習目前 causality 相關的理論和技術是得去看專業的書籍和論文，這本書更多的是科普，故事，和曆史，當然，是很不錯的一本科普