Modeling with Data: Tools and Techniques for Scientific Computing
This book explains how to execute computationally intensive analyses on very large data sets, determine the best methods for solving a variety of different problems, create and debug statistical models, and run an analysis and evaluate the results.
Tag(s): Mathematics Statistics
Publication date: 24 Mar 2009
ISBN-10: 069113314X
ISBN-13: 9780691133140
Paperback: 472 pages
Views: 7,918
Modeling with Data: Tools and Techniques for Scientific Computing
About The Author(s)
Ben Klemens has worked on computational modeling projects in a surprising range of contexts, including work on cross-border migration at the World Bank, terrorist networks and voter turnout with the Brookings Institution, the genetic roots of mental disorders with the National Institute of Mental Health, network externalities as a grad student at Caltech, and even flogging in the 19th-century U.S. Navy at NYU.
Ben Klemens has worked on computational modeling projects in a surprising range of contexts, including work on cross-border migration at the World Bank, terrorist networks and voter turnout with the Brookings Institution, the genetic roots of mental disorders with the National Institute of Mental Health, network externalities as a grad student at Caltech, and even flogging in the 19th-century U.S. Navy at NYU.