图书标签: 大数据 Big_Data 数据分析 数据挖掘 统计学 社会学 计算机 英文原版
发表于2024-06-20
Big Data pdf epub mobi txt 电子书 下载 2024
National Bestseller
“No other book offers such an accessible and balanced tour of the many benefits and downsides of our continuing infatuation with data.”—Wall Street Journal
“What I’m certain about is that Big Data will be the defining text in the discussion for some time to come.”—Forbes.com It seems like “big data” is in the news every day, with new examples of how powerful algorithms are teasing out the hidden connections between seemingly unrelated things. Whether it is used by the NSA to fight terrorism or by online retailers to predict customers’ buying patterns, big data is a revolution occurring around us, in the process of forever changing economics, science, culture, and the very way we think. But it also poses new threats, from the end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.
Big Data is the first big book about this earthshaking subject, with two leading experts explaining what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards.
VIKTOR MAYER-SCHÖNBERGER is Professor of Internet Governance and Regulation at the Oxford Internet Institute, Oxford University. A widely recognized authority on big data, he is the author of over a hundred articles and eight books, of which the most recent is Delete: The Virtue of Forgetting in the Digital Age. He is on the advisory boards of corporations and organizations around the world, including Microsoft and the World Economic Forum.
KENNETH CUKIER is the Data Editor of the Economist and a prominent commentator on developments in big data. His writings on business and economics have appeared in Foreign Affairs, the New York Times, the Financial Times, and elsewhere.
对未来的方向有点启发
评分大概不应该读三年前的流行读物吧。好无聊。
评分nothing new
评分听着挺有意思的,我们得接受两点:correlation not causation, & messiness,那么就能更好地接受大数据时代带来的各种便利和risk了。当然,数据背后还是人,乔布斯和福特都不是靠数据来赢得人心的,需要有远见卓识的人。
评分啰嗦是通病吗?
今天看完了舍恩伯格的《大数据时代》。如果抛开对译者的推崇,我会说,这本定价半百的介绍互联网前沿趋势的书籍其含金量并不怎么高,里面的有些例子在我看来也不能完全归于大数据领域。 舍恩伯格提到的三个趋势中的前两个我倒是非常赞同: 1.样本渐趋于总体; 2.精确让位于模...
评分你认为什么是大数据?如果没有仔细关注过这个领域,也许这是一个很难让人轻松回答的问题,而自己之前也没有那么清晰。但对于数据的直觉和一直以来的理解,告诉自己,如果你能掌握更多的数据,其中会有很多有意思的事情发生。 因为我们每个人都有数据在不断产生,而自己也在追...
评分两年前,还是社会学专业的我最喜欢翘的课叫做”社会统计学”,与其听着传统死板的抽样调查与回归分析,我更喜欢和一个做数据挖掘的数学系同学四处溜达。“数据挖掘(Data mining)是什么?”她跟我举了一个最简单的例子:“沃尔玛通过对超市里人们购买行为的大量数据分析,发现...
评分大数据时代的金融投资思维 金融数量化投资由于其巨大收益,是大数据最早应用的领域,而其也符合大数据最重要的三大思维变革: 1) 不是随机样本,而是全数据。 根据作者的定义, 大数据是指不用随机分析,而采用所有数据的方法。 主要原因有二,一是当前的技术能力让人类可以...
评分虽然这是一本好书,但我并不认同作者的全部观点,因果,仍然很重要,如果只是了解相关性,那么也就可能,局限在数据之中,无法达致智慧。 因果,know-why,事物的原理和规律,这是隐藏在背后、深层的东西,对数据挖掘,如果只知其然,不知其所以然,那也只能解决局部问题,不...
Big Data pdf epub mobi txt 电子书 下载 2024