Review
"A must-read resource for anyone who is serious about embracing the opportunity of big data."
-- Craig Vaughan
Global Vice President at SAP
"This book goes beyond data analytics 101. It's the essential guide for those of us (all of us?) whose businesses are built on the ubiquity of data opportunities and the new mandate for data-driven decision-making."
--Tom Phillips
CEO of Media6Degrees and Former Head of Google Search and Analytics
"Data is the foundation of new waves of productivity growth, innovation, and richer customer insight. Only recently viewed broadly as a source of competitive advantage, dealing well with data is rapidly becoming table stakes to stay in the game. The authors' deep applied experience makes this a must read--a window into your competitor's strategy."
-- Alan Murray
Serial Entrepreneur; Partner at Coriolis Ventures
"This timely book says out loud what has finally become apparent: in the modern world, Data is Business, and you can no longer think business without thinking data. Read this book and you will understand the Science behind thinking data."
-- Ron Bekkerman
Chief Data Officer at Carmel Ventures
"A great book for business managers who lead or interact with data scientists, who wish to better understand the principles and algorithms available without the technical details of single-disciplinary books."
-- Ronny Kohavi
Partner Architect at Microsoft Online Services Division
About the Author
Foster Provost is Professor and NEC Faculty Fellow at the NYU Stern School of Business where he teaches in the MBA, Business Analytics, and Data Science programs. His award-winning research is read and cited broadly. Prof. Provost has co-founded several successful companies focusing on data science for marketing.
Tom Fawcett holds a Ph.D. in machine learning and has worked in industry R&D for more than two decades for companies such as GTE Laboratories, NYNEX/Verizon Labs, and HP Labs. His published work has become standard reading in data science.
0 有用 SPL 2024-03-01 17:05:00 比利时
学校的教科书,写得确实很好,拿了高分也是不辜负自己看了一学期的中英对照。有好多个章节看到丝滑停不下来,太适合我这种machine learning小白的一本读物,弄清了好多个看起来mistery的概念可真是令人浑身舒畅!!
2 有用 o` 2021-03-17 16:45:45
如果你有数据科学的技术背景,想多了解在商业应用层面的细节,这本书应该满足不了你。这本书在技术和商业两侧都浅尝辄止,每当我想知道更多商业案例的细节时,作者就转向了技术科普。但是科普部分为了避免使用技术语言,反而又使得表述变得更加抽象。
0 有用 子珂 2017-06-07 09:09:18
看了下目录,感觉太简单了点,以后有必须再读吧
1 有用 吾往 2017-02-27 05:19:03
This book is pretty awesome! It's more practical and informative for data science interview than most theoretical books.
1 有用 听说 2016-12-18 07:15:06
@来一发 骚年抱着哭
0 有用 SPL 2024-03-01 17:05:00 比利时
学校的教科书,写得确实很好,拿了高分也是不辜负自己看了一学期的中英对照。有好多个章节看到丝滑停不下来,太适合我这种machine learning小白的一本读物,弄清了好多个看起来mistery的概念可真是令人浑身舒畅!!
0 有用 麻球12138 2021-12-15 17:46:11
Data mining is not just a catchy phrase. 来自门外汉的一点小感叹。
0 有用 NewStruct 2021-11-21 16:30:19
给非数据分析/挖掘人员看的科普书,当然明显是给管理层看的。
0 有用 HHD 2021-09-23 21:19:25
纪念此门水课
0 有用 小池子 2021-05-02 12:25:14
入门还行