A DATA SCIENTIST'S GUIDE TO START-UPS

被引:0
|
作者
Provost, Foster [1 ]
Webb, Geoffrey I. [2 ]
Bekkerman, Ron [3 ]
Etzioni, Oren [4 ]
Fayyad, Usama [5 ,6 ,7 ]
Perlich, Claudia [8 ]
机构
[1] NYU, Stern Sch Business, New York, NY 10012 USA
[2] Monash Univ, Clayton, Vic, Australia
[3] Univ Haifa, Carmel Ventures, IL-31999 Haifa, Israel
[4] Allen Inst AI, Seattle, WA USA
[5] Barclays Bank, London, England
[6] Oasis 500, Amman, Jordan
[7] Open Insights, Bellevue, WA USA
[8] Dstillery, New York, NY USA
关键词
D O I
10.1089/big.2014.0031
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In August 2013, we held a panel discussion at the KDD 2013 conference in Chicago on the subject of data science, data scientists, and start-ups. KDD is the premier conference on data science research and practice. The panel discussed the pros and cons for top-notch data scientists of the hot data science start-up scene. In this article, we first present background on our panelists. Our four panelists have unquestionable pedigrees in data science and substantial experience with start-ups from multiple perspectives (founders, employees, chief scientists, venture capitalists). For the casual reader, we next present a brief summary of the experts' opinions on eight of the issues the panel discussed. The rest of the article presents a lightly edited transcription of the entire panel discussion.
引用
收藏
页码:117 / 128
页数:12
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