Modeling Techniques in Predictive Analytics: Business Problems and Solutions With R
Language: English
Published by Ft Pr, 2013
- Hardcover
- Used
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.Goodwill of Silicon Valley
AbeBooks seller since June 28, 2024
Condition: Used - Very good
£ 15.68
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Supports Goodwill of Silicon Valley job training programs. The cover and pages are in very good condition! The cover and any other included accessories are also in very good condition showing some minor use. The spine is straight, there are no rips tears or creases on the cover or the pages.
Seller Inventory # GWSVV.0133412938.VG
- Title
- Modeling Techniques in Predictive Analytics: Business Problems and Solutions With R
- Author
- Miller, Thomas W.
- Publisher
- Ft Pr
- Publication year
- 2013
- Condition
- very_good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0133412938
- ISBN 13
- 9780133412932
- Series
- Book 5 of 36: FT Press Analytics
"Synopsis" may belong to another edition of this title.
About the Author
Thomas W. Miller is faculty director of the Predictive Analytics program at Northwestern University. He has designed courses for the program, including Marketing Analytics, Advanced Modeling Techniques, Data Visualization, and the capstone course. He has taught extensively in the program and works with more than forty other faculty members in delivering training in predictive analytics and data science.
Miller is also owner and president of Research Publishers LLC. He has consulted widely in the areas of retail site selection, product positioning, segmentation, and pricing in competitive markets, and has worked with predictive models for over 30 years.
Miller’s books include Data and Text Mining: A Business Applications Approach, Research and Information Services: An Integrated Approach for Business, and a book about predictive modeling in sports, Without a Tout: How to Pick a Winning Team.
Before entering academia, Miller spent nearly 15 years in business IT in the computer and transportation industries. He also directed the A. C. Nielsen Center for Marketing Research and taught market research and business strategy at the University of Wisconsin–Madison.
He holds a Ph.D. in psychology (psychometrics), a master’s degree in statistics from the University of Minnesota, and an MBA and master’s degree in economics from the University of Oregon.
"About the title" may belong to another edition of this title.
Goodwill of Silicon Valley
SAN JOSE, CA, U.S.A.
AbeBooks seller since June 28, 2024
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Goodwill of Silicon Valley’s mission is to support our employees, our customers, and people with challenging barriers to employment; to raise their standard of living and improve their lives through our services and social enterprise. Founded in Santa Clara County in 1928, Goodwill of Silicon Valley is dedicated to improving employment opportunities, increasing standards of living, providing economic independence, and restoring our clients’ sense of self-worth. We do this through workforce creation, vocational training, and environmental stewardship. With 18 retail stores, an online store, an extensive reuse/recycling operation, and our Contract Services division, we help people overcome barriers to employment, build sustainable livelihoods, and transform their lives and communities.…
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Goodwill of Silicon Valley
1080 North 7th Street
San Jose, CA U.S.A. 95112
Goodwill of Silicon Valley’s mission is to support our employees, our customers, and people with challenging barriers to employment; to raise their standard of living and improve their lives through our services and social enterprise.
Founded in Santa Clara County, California, USA in 1928, Goodwill of Silicon Valley is dedicated to improving employment opportunities, increasing standards of living, providing economic independence, and restoring our clients’ sense of self-worth. We do this through workforce creation, vocational training, and environmental stewardship. With 18 retail stores, an online store, an extensive reuse/recycling operation, and our Contract Services division, we help people overcome barriers to employment, build sustainable livelihoods, and transform their lives and communities.
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