Items related to Applied Predictive Modeling

Applied Predictive Modeling - Softcover

Kuhn, Max; Johnson, Kjell

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9781461468509: Applied Predictive Modeling

Synopsis

General Strategies.- Regression Models.- Classification Models.- Other Considerations.- Appendix.- References.- Indices.

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From the Back Cover

This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.

About the Author

Max Kuhn, Ph.D., is a Senior Director in Research & Development at Pfizer in Groton, CT.  He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years.   Dr. Kuhn has made many of contributions to statistical computing.  He is the author of eight R packages for techniques in machine learning (notably caret) and reproducible research and is an Associate Editor for the Journal of Statistical Software.

Kjell Johnson, Ph.D, has over 15 years of predictive modeling and statistical consulting experience in pharmaceutical research and development and other industries.  He is a former Director of Statistics at Pfizer R&D,  and is a co-founder of Arbor Analytics, a firm that specializes in predictive modeling and statistical consulting and currently serves the pharmaceutical, medical devices, finance, and insurance industries.  His scholarly work centers on the application and development of statistical methodology and learning algorithms.

Drs. Kuhn and Johnson have taught numerous short-courses on predictive modeling for organizations such as useR!, Predictive Analytics World, Eastern North American Region, American Chemical Society, Society for Biomolecular Screening, Deming Conference, and individual corporations.

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