Tree-Based Machine Learning Methods in SAS® Viya® - Brossura

Saxena, Dr. Sharad

Brossura

ISBN 10: 1954846630 ISBN 13: 9781954846630

Casa editrice: SAS Institute, 2022

Riassunto

Discover how to build decision trees using SAS^® Viya^®!

Tree-Based Machine Learning Methods in SAS^® Viya^® covers everything from using a single tree to more advanced bagging and boosting ensemble methods. The book includes discussions of tree-structured predictive models and the methodology for growing, pruning, and assessing decision trees, forests, and gradient boosted trees. Each chapter introduces a new data concern and then walks you through tweaking the modeling approach, modifying the properties, and changing the hyperparameters, thus building an effective tree-based machine learning model. Along the way, you will gain experience making decision trees, forests, and gradient boosted trees that work for you.

By the end of this book, you will know how to:

• build tree-structured models, including classification trees and regression trees.
• build tree-based ensemble models, including forest and gradient boosting.
• run isolation forest and Poisson and Tweedy gradient boosted regression tree models.
• implement open source in SAS and SAS in open source.
• use decision trees for exploratory data analysis, dimension reduction, and missing value imputation.

Dettagli dell'edizione

• Editore: SAS Institute
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 1954846630
• ISBN 13: 9781954846630
• Rilegatura: Copertina flessibile
• Numero di pagine: 364
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile