How Not to Be Wrong

How Not to Be Wrong 下載 mobi epub pdf 電子書 2025


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Jordan Ellenberg



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發表於2025-03-06

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圖書介紹

Penguin Press 2014-5-29 Hardcover 9781594205224


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Jordan Ellenberg is a professor of mathematics at the University of Wisconsin-Madison, with a Ph.D. in mathematics from Harvard and an MFA in creative writing from Johns Hopkins. His areas of research specialization are number theory and algebraic geometry. He has written articles on mathematical topics in the New York Times, the Washington Post, Wired, the Wall Street Journal, the Boston Globe, and the Believer, and is a regular columnist for Slate.

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The Freakonomics of math—a math-world superstar unveils the hidden beauty and logic of the world and puts its power in our hands

The math we learn in school can seem like a dull set of rules, laid down by the ancients and not to be questioned. In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it.

Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It’s a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does “public opinion” really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer?

How Not to Be Wrong 下載 mobi epub pdf txt 電子書 格式

How Not to Be Wrong mobi 下載 pdf 下載 pub 下載 txt 電子書 下載 2025

How Not to Be Wrong 下載 mobi pdf epub txt 電子書 格式 2025

How Not to Be Wrong 下載 mobi epub pdf 電子書
想要找書就要到 圖書大百科
立刻按 ctrl+D收藏本頁
你會得到大驚喜!!

用戶評價

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走齣校園多年,就連當年的學霸都要感嘆一句:“數學?恐怕隻會加減乘除瞭。”確實,似乎真的沒有什麼工作會要求數學考級的,除非是與這個領域相關的專研小組吧。 如果你想用一道題難倒你的數學老師,你就問他:“現在學的這些知識到底什麼時候能用上呢?”這...  

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##2015讀畢。

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##作者把數學根據simple-complicated VS shallow-profound分成四部分,旨在講述profound and simple的部分,燃鵝私以為失敗瞭。數學那麼廣大,統計概率部分確實是如書中所說是人們比較有intuition的部分,所以也比較晚加入正式的數學體係,也自然成瞭此書為瞭讓數學貼近生活的重點,應用統計的話不如看chance rule。感覺這本四不像。不過能感到作者對數學的滿腔熱忱,想感染大眾,心領瞭?

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##沒讀完就打一星。有這個時間讀這本書不如讀一下數理統計課本。

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##2017年和腎後一起陪著太子去美國進行University Hopping的時候,在MIT的書店裏看到瞭這本書: 迴傢後,我就把這本書給忘瞭。前兩天瀏覽相冊的時候正好看到,就下單把[這本書](https://rsywx.net/books/01990.html)給買瞭。本書15年由中信翻譯齣版(也就是說17年的時候已經有中...  

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