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Applied Predictive Modeling

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...

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Kuhn, Max (Auteur), Johnson, Kjell (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: New York, NY : Springer New York : Imprint: Springer, 2013.
Édition:1st ed. 2013.
Sujets:
Accès en ligne:Texto Completo
Table des matières:
  • General Strategies
  • Regression Models
  • Classification Models
  • Other Considerations
  • Appendix
  • References
  • Indices.