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2024-12-25
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#虽然是科普书,但是作者是非常认真的,小地方都很准确,大方向把握的也很好。
评分A paradigm-shift narative: 1. All data replacing sampling; 2. data amount replacing data quality; 3. correlation replacing causality; 4. data analysis encroaching specialized expertise; 5. the ownership of data will be most valuable.
评分Interesting concept. The book is mostly BS.
评分写作结构和脉络非常清晰,内有翔实的案例,作为2013出品的书对大数据这些年的大方向把握得很准,个人很喜欢关于隐私和自由意志的那一章;写作风格则很经济学人,爱用较生僻的词汇,整部书也偶有啰嗦之处。
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。 主因有二,一是当前的技...
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。 主因有二,一是当前的技...
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。 主因有二,一是当前的技...
Big Data pdf epub mobi txt 电子书 下载 2024