Feature Engineering and Selection: A Practical Approach for Predictive Models (Chapman & Hall/CRC Data Science Series) - Softcover

Kuhn, Max; Johnson, Kjell

 
9781032090856: Feature Engineering and Selection: A Practical Approach for Predictive Models (Chapman & Hall/CRC Data Science Series)
Softcover
ISBN 10: 1032090855 ISBN 13: 9781032090856
Verlag: Routledge, 2021

Inhaltsangabe

The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance.

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Über die Autorin bzw. den Autor

Max Kuhn, Ph.D., is a software engineer at RStudio. He worked in 18 years in drug discovery and medical diagnostics applying predictive models to real data. He has authored numerous R packages for predictive modeling and machine learning.

Kjell Johnson, Ph.D., is the owner and founder of Stat Tenacity, a firm that provides statistical and predictive modeling consulting services. He has taught short courses on predictive modeling for the American Society for Quality, American Chemical Society, International Biometric Society, and for many corporations.

Kuhn and Johnson have also authored Applied Predictive Modeling, which is a comprehensive, practical guide to the process of building a predictive model. The text won the 2014 Technometrics Ziegel Prize for Outstanding Book.

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Verlag
Routledge
Erscheinungsdatum
2021
Sprache
Englisch
ISBN 10 
1032090855
ISBN 13 
9781032090856
Einband
Tapa blanda
Auflage
1
Anzahl der Seiten
314
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Nicht verfügbar

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Vorgestellte Ausgabe

ISBN 10:  1138079227 ISBN 13:  9781138079229
Verlag: Chapman and Hall/CRC, 2019
Hardcover