Data Science and Prediction

13 Pages Posted: 4 Jul 2012

See all articles by Vasant Dhar

Vasant Dhar

New York University (NYU) - Leonard N. Stern School of Business; New York University (NYU) - Department of Information, Operations, and Management Sciences

Multiple version iconThere are 3 versions of this paper

Date Written: March 29, 2012

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.

Keywords: data science, prediction, predictive modeling, machine learning, induction, data mining

Suggested Citation

Dhar, Vasant, Data Science and Prediction (March 29, 2012). NYU Stern School of Business CeDER-12-01. Available at SSRN: https://ssrn.com/abstract=2086734 or http://dx.doi.org/10.2139/ssrn.2086734

Vasant Dhar (Contact Author)

New York University (NYU) - Leonard N. Stern School of Business ( email )

44 West 4th Street
Suite 9-160
New York, NY NY 10012
United States

HOME PAGE: http://www.stern.nyu.edu/~vdhar

New York University (NYU) - Department of Information, Operations, and Management Sciences

44 West Fourth Street
New York, NY 10012
United States

Register to save articles to
your library

Register

Paper statistics

Downloads
342
rank
37,465
Abstract Views
2,639
PlumX Metrics