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Tree-Based Machine Learning Methods in SAS Viya

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,...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Saxena, Sharad
Format: Electronic eBook
Language:Inglés
Published: Cary, NC : SAS Institute, 2022.
Subjects:
Online Access:Texto completo (Requiere registro previo con correo institucional)
Description
Summary: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.
Item Description:Description based upon print version of record.
Physical Description:1 online resource (364 p.)
ISBN:9781954846647
1954846649
1954846657
9781954846654