图书标签: 统计 逻辑 方法论 计算机 因果 哲学 科普 AI
发表于2024-11-24
The Book of Why pdf epub mobi txt 电子书 下载 2024
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.
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.
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。
评分这本书很不错哦 提供了另外一个思考 causal 的角度也还蛮科普的
评分很不错,很受启发。其实语言限制思维这个简单的事情也很有意思。说个身边的例子,很多人说深圳要取代香港,却不知道深圳何以成为深圳。当年邓公画了五个特区,只有一个成功了。稍微动脑子问一下why就知道深圳成功的唯一原因就是香港。去年香港打了个喷嚏,深圳就半瘫痪了。这两个不可分割的玩意,竟然有一方把另一方当作对手。。。
评分Heckman, Rubin, Pearl的爱恨情仇啊。From Gelman, Pearl’s obnoxiousness obstructs the disemmination of his ideas. And works by economists are swept under the rug. 画图容易,但用Rubin亦可。同样的问题仍是我们有哪些x该放进来?然后如何从ate到更有意义的参数是根本的识别问题也是modelling problem,这个用图难以。另外经济学家最大的一个贡献(语出Hausman)就是sem;Pearl似乎不能领会我们为何要用sem。端看pearl能不能用dag来写一个市场均衡模型. Imbens最近写了一篇review说经济学家们不用学图论 用处不多
评分很不错,很受启发。其实语言限制思维这个简单的事情也很有意思。说个身边的例子,很多人说深圳要取代香港,却不知道深圳何以成为深圳。当年邓公画了五个特区,只有一个成功了。稍微动脑子问一下why就知道深圳成功的唯一原因就是香港。去年香港打了个喷嚏,深圳就半瘫痪了。这两个不可分割的玩意,竟然有一方把另一方当作对手。。。
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...
评分这本书着实烧脑,是讲因果关系的新科学,我实在不能用简明的语言来描述,要举的案例也有点冗长,我只能告诉你几个大的框架: 1 三级因果思维,原来我们的思想还能分出个三个层次,分别是观察,干预和想象,现在的人工智能还只达到第一级,大数据阶段[发呆] 2 回归均值,你知道...
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...
The Book of Why pdf epub mobi txt 电子书 下载 2024