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2024-11-21
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 评分这些人发明了如此简单而常用的东西,以至所有人都忘了这些东西也需要人发明出来。 非常匆忙地读了一遍之后,脑子里第一时间浮现的是小说《好兆头》里的这句话,它基本上是我对这本书印象的完美概括。 经济学专业的学生,如果选过一些 policy evaluation 和 causal inference 方...
评分 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...
图书标签: 统计 逻辑 方法论 计算机 因果 哲学 科普 AI
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.
三星半。书名应该是The book of why data isn't everything. 因果关系定义或者说哲学基础的缺乏使得所有讨论显得只是在反驳数据的推崇者:没有模型的统计不可能推导出因果关系。一些技术的部分受限于科普的题材又讲得不够清楚,不如直接读causality。
评分每个人都是一部因果关系自动机。真要把人脑对因果的思维过程掰扯明白,还真是不容易。作者的因果模型,是把复杂问题简单化的经典例子了。
评分总算有本Judea Pearl的书是我能看懂的了,虽然是科普……读下来的感觉,Pearl的工作将人类直觉化的因果推理能力用数学形式表达了出来,使causal effect成为可以估计的变量。但因果模型如何提出,如何验证,似乎并没有涉及太多。如果强人工智能需要学会因果推理,提出模型应该比估算模型要难得多,也重要得多。
评分购买链接:https://item.taobao.com/item.htm?spm=a1z38n.10677092.0.0.2fd21debCjUKdJ&id=574000401704
评分知其所以然。
The Book of Why 2024 pdf epub mobi 电子书