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?
##還算不錯的數學小書,不過應該是我數學不好的緣故
評分##statistical inference科普
評分##2016.07.24 - 2016.09.15 Summer Read
評分作者Ellenbery開始將數學由簡單到復雜,解決問題由簡單到復雜分成四象限,該書著重講述簡單數學解決復雜問題這個象限。內容從古希臘人無理數的發現,圓周率的計算,概率統計與投資,與彩票設計,幾何結構與通信編碼,Fisher的假設檢驗與Neumann的迴歸分析的爭論,Shannon的通信原理,投票選舉中的Condorcet 悖論,Condor的提齣以數學定量分析的社會科學推動社會前進。整個書涉獵數學範圍很廣並且與當今社會的空間通信編碼,經濟,金融投資,社會發展緊密聯係,非常好。
評分##雖然我對書中提到的大部分概念並不陌生,但仍然學到不少東西。作者把很多看似毫不相乾的概念或現象巧妙地聯係到一起,展現齣數學的美妙和無所不在。
評分##有幾章看不懂
評分##有幾章看不懂
評分##statistical inference科普
評分##math theory for dummies,但我真的不喜歡math。
本站所有内容均为互联网搜索引擎提供的公开搜索信息,本站不存储任何数据与内容,任何内容与数据均与本站无关,如有需要请联系相关搜索引擎包括但不限于百度,google,bing,sogou 等
© 2026 book.tinynews.org All Rights Reserved. 静思书屋 版权所有