The Book of Why 在线电子书 图书标签: 人工智能 统计学 因果論 Causality 计算机 Statistics AI 思维
发表于2025-03-26
The Book of Why 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025
Satisfied and recommended to colleagues already...
评分感觉写得不好. 如果要了解causal inference还是看标准的教材吧
评分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...
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.
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.
1.作者朱迪亚·珀尔,是加州大学落砂机分校的计算机科学教授,计算机最高奖项图灵奖的获得者,被称为贝叶斯网络之父。作为科学家写的科学著作,这本书需要一定的先验知识才能阅读下去,起码读者应该对概率论有基本的了解。不过,虽然有一定的阅读难度,但能把人类关于因果关系...
评分 评分作为一名学习经管类专业的学生,这本书给了我许多更深入的思考。作者作为人工智能领域的专家,对于因果关系的理解鞭辟入里,使人茅塞顿开。例如开篇提及,在统计学课程上,学生们经常被教导“相关性不代表因果”,但往往很多的教导都止步于此——学生们知道了什么不是因果,却...
评分作为一名学习经管类专业的学生,这本书给了我许多更深入的思考。作者作为人工智能领域的专家,对于因果关系的理解鞭辟入里,使人茅塞顿开。例如开篇提及,在统计学课程上,学生们经常被教导“相关性不代表因果”,但往往很多的教导都止步于此——学生们知道了什么不是因果,却...
评分作为一名学习经管类专业的学生,这本书给了我许多更深入的思考。作者作为人工智能领域的专家,对于因果关系的理解鞭辟入里,使人茅塞顿开。例如开篇提及,在统计学课程上,学生们经常被教导“相关性不代表因果”,但往往很多的教导都止步于此——学生们知道了什么不是因果,却...
The Book of Why 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2025