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Tree-Based Methods for Statistical Learning in R: A Practical Introduction with Applications in R (Chapman & Hall/CRC Data Science Series) - Hardcover
Synopsis
Tree-based Methods for Statistical Learning in R 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. Building a strong foundation for how individual decision trees work will help readers better understand tree-based ensembles at a deeper level, which lie at the cutting edge of modern...
About the Author
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...
"About this title" may belong to another edition of this title.
- PublisherChapman and Hall/CRC
- Publication date2022
- ISBN 10 0367532468
- ISBN 13 9780367532468
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages404
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