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Cover: 9781493979363 | Applied Predictive Modeling | Kjell Johnson (u. a.) | Taschenbuch
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Applied Predictive Modeling
Taschenbuch von Kjell Johnson (u. a.)
Sprache: Englisch

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Beschreibung
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.

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.
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.

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.
Über den Autor

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.

Zusammenfassung

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

Includes supplementary material: [...]

Inhaltsverzeichnis

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

Details
Erscheinungsjahr: 2019
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xiii
600 S.
14 s/w Illustr.
296 farbige Illustr.
600 p. 310 illus.
296 illus. in color.
ISBN-13: 9781493979363
ISBN-10: 1493979361
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Johnson, Kjell
Kuhn, Max
Auflage: Softcover reprint of the original 1st ed. 2013
Hersteller: Springer US
Springer New York
Springer US, New York, N.Y.
Maße: 235 x 155 x 33 mm
Von/Mit: Kjell Johnson (u. a.)
Erscheinungsdatum: 16.03.2019
Gewicht: 0,92 kg
Artikel-ID: 115102548
Über den Autor

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.

Zusammenfassung

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

Includes supplementary material: [...]

Inhaltsverzeichnis

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

Details
Erscheinungsjahr: 2019
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xiii
600 S.
14 s/w Illustr.
296 farbige Illustr.
600 p. 310 illus.
296 illus. in color.
ISBN-13: 9781493979363
ISBN-10: 1493979361
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Johnson, Kjell
Kuhn, Max
Auflage: Softcover reprint of the original 1st ed. 2013
Hersteller: Springer US
Springer New York
Springer US, New York, N.Y.
Maße: 235 x 155 x 33 mm
Von/Mit: Kjell Johnson (u. a.)
Erscheinungsdatum: 16.03.2019
Gewicht: 0,92 kg
Artikel-ID: 115102548
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