Former correspondent for The Economist, current columnist for Yahoo!, and professor at the Harris School of Public Policy at the University of Chicago, Charles Wheelan lives in Chicago with his family.
The field of statistics is rapidly transforming into a discipline that Hal Varian at Google has called "sexy". And with good reason - from batting averages and political polls to game shows and medical research - the real-world application of statistics is growing by leaps and bounds. In Naked Statistics, Charles Wheelan strips away the arcane and technical details to get at the underlying intuition that is key to understanding the power of statistical concepts. Tackling a wide-ranging set of problems, he demonstrates how statistics can be used to look at questions that are important and relevant to us today. With the trademark wit, accessibility and fun that made Naked Economics a bestseller, Wheelan brings another essential discipline to life with a one-in-a-million statistics book that you will read for pleasure.
昨天终于把书读完了,总的来说内容不错,翻译的也可以,毕竟是一本统计学的科普读物。觉得书的最大闪光点是把以前学的概率等统计知识与具体案例联系在一起,能够更深入的理解统计学的意义、算法和用途,能够加深对概率、相关性、极限定理、回归分析这些之前半懂不懂的知识的认...
評分这是一本很适合我的统计学入门书本。研究生的专业是数据挖掘,常常要用到一些统计的知识,但是由于当时急功近利的不求甚解,只求知道怎么用,不想深究为何用,以至于在这个崇尚大数据的时代,让我不能长时间地深入地全面地忽悠他人。哎,黑发不知勤学早,信口方悔读书迟!...
評分这不是关于这本书的看法,只是看书的时候隐隐约约想起来的闲言碎语。 随着移动互联网的兴起,数据变得在线,我们逐渐走进大数据时代,一个前所未有的时代。在许多地方我们可以看到大数据展现的神奇魔力,也一再担忧大数据所带来的隐私问题。 然而,有一点却被大家无意识地忽...
評分这本书就是统计学101的水平,完全是写给统计盲看的,对我没用,只算是复习了下central tendency, central limit theorem, 和概率、回归分析等方面的基础。书写的浅显易懂,在基本不用专业语言的情况下能把概念解释清楚,这是难得的地方,所以对于想要入门统计基本原理的,是本...
流暢但顯淺
评分讀讀怎麼用plain english 解釋復雜的結構;不過這作者大抵level有限,似乎連LLN和CLT隻能很模糊的說幾句,對netflix問題根本沒有觸及到點上
评分讀讀怎麼用plain english 解釋復雜的結構;不過這作者大抵level有限,似乎連LLN和CLT隻能很模糊的說幾句,對netflix問題根本沒有觸及到點上
评分三點五,就那樣吧
评分每個人都應該瞭解的統計概念(可惜大學的老師不能這樣教我們)
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