The Book of Why pdf epub mobi txt 电子书下载 2024

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Judea Pearl

Allen Lane

2018-5-15

400

GBP 25.00

Hardcover

9780241242636

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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发表于2024-07-04

The Book of Why epub 下载 mobi 下载 pdf 下载 txt 电子书下载 2024

The Book of Why pdf epub mobi txt 电子书下载 2024

图书描述

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 下载 mobi epub pdf txt 电子书

著者简介

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.

图书目录

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

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用户评价

评分☆☆☆☆☆

在Pearl的书中只有这本是“说人话”，用讲故事的形式介绍因果推理中的一些概念，而非满页令人生畏的数学公式推导，此外只要对统计学的知识和历史有所了解，那么书中的内容绝不会让人陌生，作者不仅展示了他过往研究中最为基础的部分，也提及了这些工作的产生过程和许多其他研究者的努力，于是相比他之前数十年的著作，最近才出版的这本书反而成为意图了解因果推理领域的外行人最佳的先导读物，尤其对“相关不等于因果”与各种悖论的解释极尽简明有力，天下无出其右，读此书再去读因果研究的教科书更有情景感，除了Pearl这样执迷直接啃数学天赋异禀的人，他在书中说自己的阅读方法是跳开文字描述直接看数学公式。当然，本书的数学部分太少，读了之后你也不会理解Why的真谛，必须去学因果推理的教材。另外此书重点是因果推理，不是人工智能。

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☆☆☆☆☆

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☆☆☆☆☆

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

读后感

评分☆☆☆☆☆

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...

评分☆☆☆☆☆

拿到书之后读了两遍，第一遍是以欣赏和学习的态度，第二遍是以欣赏和怀疑的态度。学习和怀疑之后，谈谈读后感。这本书的副标题是《关于因果关系的新科学》，显然，这本书是从科学角度论述因果关系的。这可能让大众诧异，为什么显而易见的因果关系，从科学角度却难以建立。甚至...

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The Book of Why pdf epub mobi txt 电子书下载 2024