- Hardcover
- Used
Seller: EZ USED BOOKS LLC, East Providence, RI, U.S.A.EZ USED BOOKS LLC
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Any images shown are stock photographs. The actual item may differ from the image displayed. Very Good condition. Dust Jacket included, Light signs of handling or shelf wear may be present. Pages are clean and the binding is secure. If you would like to confirm the exact condition of this copy before purchasing, please feel free to contact us for photos.
Seller Inventory # EZBV.1461468485.VG
- Title
- Applied Predictive Modeling
- Author
- Kuhn, Max; Johnson, Kjell
- Publisher
- Springer
- Publication year
- 2013
- Condition
- very_good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1461468485
- ISBN 13
- 9781461468486
- Edition
- 2nd Edition
Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process.
This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package."Synopsis" may belong to another edition of this title.
About the Author
Dr. Kuhn is a Director of Non-Clinical Statistics at Pfizer Global R&D in Groton Connecticut. He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years and is the author of a number of R packages.
Dr. Johnson has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development. He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R&D. His scholarly work centers on the application and development of statistical methodology and learning algorithms.
"About the title" may belong to another edition of this title.
EZ USED BOOKS LLC
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AbeBooks seller since June 26, 2026
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