The Book of Why pdf epub mobi txt 電子書 下載 2024


The Book of Why

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Judea Pearl
Allen Lane
2018-5-15
400
GBP 25.00
Hardcover
9780241242636

圖書標籤: 人工智能  統計學  因果論  Causality  計算機  Statistics  AI  思維   


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发表于2024-12-22

The Book of Why epub 下載 mobi 下載 pdf 下載 txt 電子書 下載 2024

The Book of Why epub 下載 mobi 下載 pdf 下載 txt 電子書 下載 2024

The Book of Why pdf epub mobi txt 電子書 下載 2024



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
立刻按 ctrl+D收藏本頁
你會得到大驚喜!!

用戶評價

評分

期待深度學習碰壁的那一天

評分

真是打開瞭新世界的大門,本以為讀瞭一些計量經濟學和實驗設計的東西已經算入門瞭,沒想到可能是大傢都走錯門瞭,甚至門在哪裏可能都還沒達成一緻

評分

Satisfied and recommended to colleagues already...

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Rubin在課上還噴瞭Judea一頓,錶示看不慣這種拿概率圖建模的方法。。不過do calculus如何隻從數據中得到因果關係確實有趣。關於因果推斷的模型到底哪個纔是有用的,見仁見智吧

評分

終於!看完瞭!醍醐灌頂!太精彩!基本改變瞭對統計的認知!9.6-9.24,amazing的18天閱讀體驗。

讀後感

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The ladder of causation Association Predictions based on passive observations Intervention Involving not just seeing but changing what is Counterfactuals Not only experiments, but also need the model of the underlying causal process--"theory" or "a law of n...  

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一 五月,腾讯稳坐公司新闻头条,与今日头条互诉,腾讯视频打造的女团选拔节目《创造101》中的选手王菊逆袭翻盘,现象级的王菊效应在网上发酵。在五月,让我最感兴趣的一条公司新闻也与腾讯有关。5月30日,腾讯官方公众号发布了一篇文章,标题是《她叫Siren,不是人,也可以是...  

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