Computational Social Science
Discovery and Prediction
This book provides an overview of cutting-edge approaches to computational social science.
R. Michael Alvarez (Edited by)
9781107107885, Cambridge University Press
Hardback, published 10 March 2016
312 pages
23.5 x 16 x 2.3 cm, 0.58 kg
'With big data analytics comes a complex relationship between computational social science and public policy. For social scientists, these essays will present exciting new ways to think about and leverage big data analytics. Data scientists will enjoy seeing their tricks of the trade being applied to interesting social and public policy issues.' Jeff Jonas, IBM Fellow
Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those pattern]
Price now:
Computational Social Science
Discovery and Prediction
This book provides an overview of cutting-edge approaches to computational social science.
R. Michael Alvarez (Edited by)
9781107107885, Cambridge University Press
Hardback, published 10 March 2016
312 pages
23.5 x 16 x 2.3 cm, 0.58 kg
'With big data analytics comes a complex relationship between computational social science and public policy. For social scientists, these essays will present exciting new ways to think about and leverage big data analytics. Data scientists will enjoy seeing their tricks of the trade being applied to interesting social and public policy issues.' Jeff Jonas, IBM Fellow
Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those pattern]
Price now:
Computational Social Science
Discovery and Prediction
This book provides an overview of cutting-edge approaches to computational social science.
R. Michael Alvarez (Edited by)
9781107107885, Cambridge University Press
Hardback, published 10 March 2016
312 pages
23.5 x 16 x 2.3 cm, 0.58 kg
'With big data analytics comes a complex relationship between computational social science and public policy. For social scientists, these essays will present exciting new ways to think about and leverage big data analytics. Data scientists will enjoy seeing their tricks of the trade being applied to interesting social and public policy issues.' Jeff Jonas, IBM Fellow
Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those pattern]
General | |
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Series | Analytical Methods for Social Research |
Format | Hardcover |
Language | English |
Type | Textbook |
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