Tree-Based Methods for Statistical Learning in R: A Practical Introduction with Applications in R (Chapman & Hall/CRC Data Science Series) - Tapa dura

Libro 14 de 36: Chapman & Hall/CRC Data Science

Greenwell, Brandon M.

 
9780367532468: Tree-Based Methods for Statistical Learning in R: A Practical Introduction with Applications in R (Chapman & Hall/CRC Data Science Series)
Tapa dura
ISBN 10: 0367532468 ISBN 13: 9780367532468
Editorial: Chapman and Hall/CRC, 2022

Sinopsis

This book provides a thorough introduction to both individual decision tree algorithms (Part I) and ensembles thereof (Part II). Part I of the book brings several different tree algorithms into focus, both conventional and contemporary. 

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Acerca del autor

Brandon M. Greenwell is a data scientist at 84.51° where he works on a diverse team to enable, empower, and enculturate statistical and machine learning best practices where it’s applicable to help others solve real business problems. He received a B.S. in Statistics and an M.S. in Applied Statistics from Wright State University, and a Ph.D. in Applied Mathematics from the Air Force Institute of Technology. He's currently part of the Adjunct Graduate Faculty at Wright State University, an Adjunct Instructor at the University of Cincinnati, the lead developer and maintainer of several R packages available on CRAN (and off CRAN), and co-author of “Hands-On Machine Learning with R.”

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Editorial
Chapman and Hall/CRC
Año de publicación
2022
Idioma
Inglés
ISBN 10 
0367532468
ISBN 13 
9780367532468
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
406
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

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