Applied Predictive Modeling
Author: Kuhn MaxLanguage: Anglais
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599 p. · Hardback
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.
Dr. Kuhn is a Director of Non-Clinical Statistics at Pfizer Global R&
General Strategies.- Regression Models.- Classification Models.- Other Considerations.- Appendix.- References.- Indices.
Book specializes in data analysis with focus on practice of predictive modeling
Useful as a guide for practitioners
Reader can reproduce all results using R