The Book of Why

The Book of Why pdf epub mobi txt 电子书 下载 2025

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.

出版者:Allen Lane
作者:Judea Pearl
出品人:
页数:400
译者:
出版时间:2018-5-15
价格:GBP 25.00
装帧:Hardcover
isbn号码:9780241242636
丛书系列:
图书标签:
  • 人工智能 
  • 统计学 
  • 因果論 
  • Causality 
  • 计算机 
  • Statistics 
  • AI 
  • 思维 
  •  
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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.

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2016年,在大数据的帮助下,人工智能(AI)围棋软件AlphaGo在系列赛中以4:1战胜了世界围棋顶尖高手李世石,震惊了全人类。 当时网络上有人戏谑道:“人工智能赢了不可怕,至少说明它还不懂得韬光隐晦,如果它假装输给人类,那才更加可怕。”这句看似戏言的话,却暗藏了人工智能...  

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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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rather than a new science. 1,作者并没有区分自然科学和社会以及行为科学,没有讨论这两个领域因果推断的异同,也没有上升到科学哲学的层面讨论因果推断本身。这些本身都不是问题。只是就内容来说,书中的science实际上指的是社会科学和行为科学,作者所说的“因果革命 (the ...  

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这本书说的是人类思维中最重要的逻辑关系——因果关系。 人类的大脑中有强烈的因果直觉,这种直觉在正向判断中非常高效。当看到一件事情时,我们能够很有把握地判断出它可能导致的结果。但是反过来,我们的直觉往往不够有效。也就是说,当看到结果时,我们常常无法快速准确地推...  

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哲学逻辑课~

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Rubin在课上还喷了Judea一顿,表示看不惯这种拿概率图建模的方法。。不过do calculus如何只从数据中得到因果关系确实有趣。关于因果推断的模型到底哪个才是有用的,见仁见智吧

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好书,很感兴趣的topic,比之前翻得两本Pearl的书还是好懂多了。因果关系这种我们平时最习以为常的东西却远远了解得不够,想起之前一个同学做得就是qft里面的因果律,这个话题远远不只是哲学上的,许多日常的案例都会用到这些。

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7-9章比较难懂,看来太前沿,不适合非学界人士,简单了解一下吧,再过两年深度学习碰壁以后估计会回归因果分析~实现强智能应该绕不开因果体系

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7-9章比较难懂,看来太前沿,不适合非学界人士,简单了解一下吧,再过两年深度学习碰壁以后估计会回归因果分析~实现强智能应该绕不开因果体系

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