發表於2025-05-28
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 pdf epub txt 電子書 格式 2025
How Not to Be Wrong 下載 mobi epub pdf 電子書走齣校園多年,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...
評分##還算不錯的數學小書,不過應該是我數學不好的緣故
評分##二戰期間,數學傢亞伯拉罕·瓦爾德所在的研究小組為美軍軍方提供飛機裝甲的優化方案。瓦爾德沒有多少空戰知識,唯一的依據僅僅是與敵軍交火後返航飛機上的彈孔。他給齣的答案超齣軍方的預想:裝甲最多的不應是彈孔最多的機身部位,而是彈孔相對較少的引擎部位。這不難理解,引...
評分 評分 評分##能把數學尤其是統計學講得這麼生動也是不易,這是一本可以當故事書看的數學書。
評分##書名叫《魔鬼數學:大數據時代,數學思維的力量》,搞的太雞賊太玄虛瞭,英文是:How Not to Be Wrong: The Power of Mathematical Thinking,還好內容的翻譯非常精彩準確,沒有被名字帶跑偏 這本書主要內容偏重統計和概率,內容不難,沒有繁復的公式和晦澀的詞匯,作者意在強...
評分##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?
How Not to Be Wrong mobi epub pdf txt 電子書 格式下載 2025