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2025-02-01

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

qciss.net

立刻按 ctrl+D收藏本頁

你會得到大驚喜!!

用戶評價

評分☆☆☆☆☆

這本書很不錯哦提供瞭另外一個思考 causal 的角度也還蠻科普的

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☆☆☆☆☆

學習一哈

評分☆☆☆☆☆

Strong AI和Causal Effect僅依靠當前的統計、機器學習和深度學習方法是不夠的，需要建立一套能描述Causal Effect的數學化的語言，在此基礎上纔能由現在的rung one（描述association）走到rung two（以do-clause描述和推斷intervention後産生的結果）和rung three（描述和推斷what if have done的結果，即如果做某事後産生的結果，而該事件實際並不一定會發生，而這是人類具備的聯想和推斷齣未知事物因果關係的能力，目前的弱AI並不具備）。深度學習隻是一個黑盒，存在可解釋性以及仍是一種弱AI的問題。且對因果關係而非相關關係的描述和研究在其他領域也非常需要。

評分☆☆☆☆☆

很不錯，很受啓發。其實語言限製思維這個簡單的事情也很有意思。說個身邊的例子，很多人說深圳要取代香港，卻不知道深圳何以成為深圳。當年鄧公畫瞭五個特區，隻有一個成功瞭。稍微動腦子問一下why就知道深圳成功的唯一原因就是香港。去年香港打瞭個噴嚏，深圳就半癱瘓瞭。這兩個不可分割的玩意，竟然有一方把另一方當作對手。。。