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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Saxena, Sharad
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cary, NC : SAS Institute, 2022.
Temas:
SAS (Computer file)
Machine learning.
Computer algorithms.
Algorithms
Machine Learning
Apprentissage automatique.
Algorithmes.
algorithms.
Computer algorithms
Machine learning
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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505 0 |a Intro -- Blank Page -- Blank Page 
520 |a 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. 
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