Big Data

Big Data pdf epub mobi txt 电子书 下载 2025

出版者:Eamon Dolan/Houghton Mifflin Harcourt
作者:Viktor Mayer-Schönberger
出品人:
页数:256
译者:
出版时间:2013-3-5
价格:USD 27.00
装帧:Hardcover
isbn号码:9780544002692
丛书系列:
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
  • 大数据
  • 数据科学
  • 数据分析
  • 数据挖掘
  • 机器学习
  • 云计算
  • 数据管理
  • 数据可视化
  • 人工智能
  • 数据工程
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具体描述

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.

作者简介

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.

目录信息

1 Now 1
2 More 19
3 Messy 32
4 Correlation 50
5 Datafication 73
6 Value 98
7 Implications 123
8 Risks 150
9 Control 171
10 Next 185
Notes 199
Bibliography 216
Acknowledgments 225
Index 229
· · · · · · (收起)

读后感

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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...  

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什么是大数据 先说一个故事,同任何职业运动一样,每个领域的职业联赛联盟都有“豪门”,就像以前的皇马巴萨之余足球一样 ,美国职业棒球大联盟不仅有豪门,还有很多个寒门,且豪门和寒门之间的薪资差异越来越大,即所谓“不公平的 竞争”,导致的后果是优秀的棒球手频繁被豪...

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去年的“云计算”炒得热火朝天的,今年的“大数据”又突袭而来。仿佛一夜间,各厂商都纷纷改旗换帜,推起“大数据”来了。于是乎,各企业的CIO也将热度纷纷转向关注“大数据”来了。有一张来自《程序员》微博的漫画很形象.我觉得这张图,很真实地反映了现实中小企业云计算,大...  

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作为一个学计算机出身的理工狗,我一直忍到自己写完论文才回过头来看这本书。此时距这书出版,已经一年有余,大数据的概念已经甚嚣尘上,无人不知了。 维克托和肯尼思在这本书中不遗余力的向我们说明了由于技术的进步,传统的统计学抽样方法已经开始显得落伍,而...  

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用户评价

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有点儿扯,但是作为骗HR和扯淡的材料足够深刻了。

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nothing new

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时代的潮流

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例子都很有趣,不过实在是太罗嗦了,这结构这语言真的不是在凑字数吗!

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弗里德曼体,隔靴搔痒。。。

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