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.
發表於2024-12-22
The Book of Why 2024 pdf epub mobi 電子書 下載
這些人發明瞭如此簡單而常用的東西,以至所有人都忘瞭這些東西也需要人發明齣來。 非常匆忙地讀瞭一遍之後,腦子裏第一時間浮現的是小說《好兆頭》裏的這句話,它基本上是我對這本書印象的完美概括。 經濟學專業的學生,如果選過一些 policy evaluation 和 causal inference 方...
評分 評分這本書說的是人類思維中最重要的邏輯關係——因果關係。 人類的大腦中有強烈的因果直覺,這種直覺在正嚮判斷中非常高效。當看到一件事情時,我們能夠很有把握地判斷齣它可能導緻的結果。但是反過來,我們的直覺往往不夠有效。也就是說,當看到結果時,我們常常無法快速準確地推...
圖書標籤: 人工智能 統計學 因果論 Causality 計算機 Statistics AI 思維
7-9章比較難懂,看來太前沿,不適閤非學界人士,簡單瞭解一下吧,再過兩年深度學習碰壁以後估計會迴歸因果分析~實現強智能應該繞不開因果體係
評分非常棒的一本計算機科學的科普書,可讀性強,並且,作者也有哲學的深度。沒有給5星是因為對科普的興趣沒有對經濟學那麼感興趣
評分終於!看完瞭!醍醐灌頂!太精彩!基本改變瞭對統計的認知!9.6-9.24,amazing的18天閱讀體驗。
評分期待深度學習碰壁的那一天
評分真是打開瞭新世界的大門,本以為讀瞭一些計量經濟學和實驗設計的東西已經算入門瞭,沒想到可能是大傢都走錯門瞭,甚至門在哪裏可能都還沒達成一緻
The Book of Why 2024 pdf epub mobi 電子書 下載