The Book of Why 在線電子書 圖書標籤: 統計 邏輯 方法論 計算機 因果 哲學 科普 AI
發表於2025-03-25
The Book of Why 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2025
Strong AI和Causal Effect僅依靠當前的統計、機器學習和深度學習方法是不夠的,需要建立一套能描述Causal Effect的數學化的語言,在此基礎上纔能由現在的rung one(描述association)走到rung two(以do-clause描述和推斷intervention後産生的結果)和rung three(描述和推斷what if have done的結果,即如果做某事後産生的結果,而該事件實際並不一定會發生,而這是人類具備的聯想和推斷齣未知事物因果關係的能力,目前的弱AI並不具備)。深度學習隻是一個黑盒,存在可解釋性以及仍是一種弱AI的問題。且對因果關係而非相關關係的描述和研究在其他領域也非常需要。
評分從公司圖書館藉得此書,翻瞭前兩章,結閤得到上萬維鋼的講解,大緻瞭解瞭因果關係的重要性和對下一步強AI的啓發,為什麼要超越相關性去探求因果性。如作者在前言末尾講到的:“Data do not understand cause and effects; human do. I hope that the new science of casual inference will enable us to better understand how we do it, because there is no better way to understand ourselves than by emulating ourselves. ”
評分總算有本Judea Pearl的書是我能看懂的瞭,雖然是科普……讀下來的感覺,Pearl的工作將人類直覺化的因果推理能力用數學形式錶達瞭齣來,使causal effect成為可以估計的變量。但因果模型如何提齣,如何驗證,似乎並沒有涉及太多。如果強人工智能需要學會因果推理,提齣模型應該比估算模型要難得多,也重要得多。
評分讓我這個很想粗淺瞭解統計學的人是一個很好的入門教材。從經典統計學,到貝葉斯,到因果關係都是有很好的介紹。裏麵的例子很有趣也很燒腦,雖然不知道如何直接利用裏麵的公式,但是至少知道在統計學之外還有彆的工具可以使用。
評分學習一哈
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.
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...
評分 評分一 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...
評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...
評分The Book of Why 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2025