Data Science and Prediction

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DC Field	Value	Language
dc.contributor.author	Dhar, Vasant	-
dc.date.accessioned	2012-10-16T18:38:31Z	-
dc.date.available	2012-10-16T18:38:31Z	-
dc.date.issued	2012-10-16T18:38:31Z	-
dc.identifier.uri	http://hdl.handle.net/2451/31635	-
dc.description.abstract	The use of the term 'Data Science' is becoming increasingly common along with 'Big Data.' What does Data Science mean? Is there something unique about it? What skills should a 'data scientist' possess to be productive in the emerging digital age characterized by a deluge of data? What are the implications for business and for scientific inquiry? In this brief monograph I address these questions from a predictive modeling perspective.	en
dc.description.sponsorship	NYU Stern, IOMS Department, Center for Business Analytics	en
dc.language.iso	en_US	en
dc.relation.ispartofseries	CBA-12-00	-
dc.title	Data Science and Prediction	en
dc.type	Working Paper	en
dc.authorid-ssrn	402993	en
Appears in Collections:	Center for Business Analytics Working Papers

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data_science_and_prediction_dhar.pdf	Vasant Dhar Predictions Paper	471.32 kB	Adobe PDF	View/Open