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Tree-Based Methods for Statistical Learning in R

- A Practical Introduction with Applications in R

By Brandon M. (University of Cincinnati Greenwell

part of the Chapman & Hall/CRC Data Science Series series

Tree-Based Methods for Statistical Learning in R by Brandon M. (University of Cincinnati Greenwell
About Tree-Based Methods for Statistical Learning in R

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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  • Language:
  • English
  • ISBN:
  • 9780367532468
  • Binding:
  • Hardback
  • Pages:
  • 404
  • Published:
  • June 22, 2022
  • Dimensions:
  • 160x241x31 mm.
  • Weight:
  • 782 g.
  In stock
Delivery: 3-5 business days
Expected delivery: December 26, 2024
Extended return policy to January 30, 2025
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About Brandon M. (University of Cincinnati Greenwell

View all books by Brandon M. (University of Cincinnati Greenwell

Description of Tree-Based Methods for Statistical Learning in R

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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