Big Data pdf epub mobi txt 電子書 下載2025
- 大數據
- Big_Data
- 數據分析
- 數據挖掘
- 統計學
- 社會學
- 計算機
- 英文原版
- 大數據
- 數據科學
- 數據分析
- 數據挖掘
- 機器學習
- 雲計算
- 數據管理
- 數據可視化
- 人工智能
- 數據工程
具體描述
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.
著者簡介
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.
圖書目錄
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)
讀後感
当下是移动互联网和web2.0的时代，腾讯的QQ空间是当今世界唯一一个web2.0成功盈利的平台，其实facebook都没什么好谈的，至今扎克伯格都没找到适合f的商业模式，而腾讯不知道早多少年就轻车熟路了。 而阿里巴巴，淘宝和支付宝不就是美国的eBay和amazon的结合体吗？国外的人对中...
評分 評分在路上•晃晃悠悠 电子科技大学教授，互联网科学中心主任 周 涛 接下翻译这本《大数据时代》的任务时，我的目标是做到110% 的好。因为作者维克托•迈尔–舍恩伯格毕竟不像我们每天在一线与数据厮杀搏斗，其爱其恨都更深刻。特别地，我们可以为中文的读者补充很多中...
評分一个大学生如果说到找工作，你脑海里出现的是什么场景？你首先制作一份个人简历，上面记载了你大学期间的成绩、奖励和实习经历等，当然虽不至于造假，但一定是经过“润色”的，然后你走进一家公司的办公室，对面坐着面试你的HR，你恭恭敬敬地呈上简历后开始自我介绍和交流，把...
評分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...
用戶評價
I like this book, it indeed brought something really happens but we have ignored, meanwhile it also inspires us to change our mind to observe this world.
评分nothing new
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.
评分寫作結構和脈絡非常清晰，內有翔實的案例，作為2013齣品的書對大數據這些年的大方嚮把握得很準，個人很喜歡關於隱私和自由意誌的那一章；寫作風格則很經濟學人，愛用較生僻的詞匯，整部書也偶有囉嗦之處。
评分這本關於大數據的書，神奇之處在於毫無技術含量，要是想來學習 data science 技術的可以右轉瞭，Hadoop，noSQL什麼的都是一句話帶過。不過當一本八卦書還是可讀性很強的，有各種聽過沒聽過的公司的發傢史，最愛的是 Datafication 一章 Maury 的故事。不足之處是羅嗦重復之處甚多，章節之間邏輯也比較亂。另外，Note 部分很好看，適閤考據癖們。
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