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.
发表于2024-12-31
The Book of Why 2024 pdf epub mobi 电子书
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 ...
评分一 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...
评分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...
评分豆瓣要求1周出书评确实有些强人所难,以本书的内容含量来看,是值得开一年的读书会来反复研读的“新经典”。我们或许目睹了《自然哲学的科学原理》、《物种起源》相同级别的书诞生,何其幸哉。如果用一句话来为本书作品,那就是:这是一本你不看也值得买来摆在书架上的书。 本...
图书标签: 人工智能 统计学 因果論 Causality 计算机 Statistics AI 思维
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.
真是打开了新世界的大门,本以为读了一些计量经济学和实验设计的东西已经算入门了,没想到可能是大家都走错门了,甚至门在哪里可能都还没达成一致
评分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
评分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
评分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
评分Satisfied and recommended to colleagues already...
The Book of Why 2024 pdf epub mobi 电子书