Our ACM SIGKDD 2014 tutorial on Statistically Sound Pattern Discovery can be found here.
The slides and supporting material can be found here.
The post KDD-14 tutorial on Statistically Sound Pattern Discovery appeared first on Geoff Webb.
Source: i.giwebb.com
View our panel on Video Lectures:
A Data Scientist’s Guide to Making Money from Start-ups
Geoff Webb, Foster Provost, Ron Bekkerman, Oren Etzioni, Usama Fayyad, Claudia Perlich
We also wrote a paper based on the panel discussion:
![[URL]](http://i1.wp.com/i.giwebb.com/wp-content/plugins/papercite/img/external.png?resize=10%2C10)
Provost, F., Webb, G. I., Bekkerman, R., Etzioni, O., Fayyad, U., & Perlich, C. (2014). A Data Scientist’s Guide to Start-Ups. Big Data, 2(3), 117-128.
[Bibtex] [Abstract]
@Article{ProvostEtAl14,
Title = {A Data Scientist's Guide to Start-Ups},
Author = {F. Provost and G. I. Webb and R. Bekkerman and O. Etzioni and U. Fayyad and C. Perlich},
Journal = {Big Data},
Year = {2014},
Number = {3},
Pages = {117-128},
Volume = {2},
Abstract = {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.},
Keywords = {Big Data},
Url = {http://dx.doi.org/10.1089/big.2014.0031}
}ABSTRACT 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.The post A Data Scientist’s Guide to Making Money from Start-ups appeared first on Geoff Webb.
Source: i.giwebb.com