Tree-Based Machine Learning Methods in SAS Viya - 16 Angebote vergleichen

Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Versandkostenfrei.
Von Händler/Antiquariat, Book Depository hard to find [63688905], London, United Kingdom.
Language: English. Brand new Book. 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. Books.

Lieferung aus: Vereinigte Staaten von Amerika, Versandkosten nach: USA.
Von Händler/Antiquariat, LibroWorld.
Hardcover. New. Discover how to build decision trees using SASViya! Tree-Based Machine Learning Methods in SASViya 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.| Author: Sharad Saxena| Publisher: Sas Institute| Publication Date: Feb 21, 2022| Number of Pages: 364 pages| Language: English| Binding: Hardcover| ISBN-10: 1954846711| ISBN-13: 9781954846715.

Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
nach der Bestellung gedruckt Neuware -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. 364 pp. Englisch, Books.

Lieferung aus: Vereinigte Staaten von Amerika, Shipping costs to: USA.
Von Händler/Antiquariat, LibroWorld.
Paperback. New. Discover how to build decision trees using SASViya! Tree-Based Machine Learning Methods in SASViya 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.| Author: Sharad Saxena| Publisher: Sas Institute| Publication Date: Feb 21, 2022| Number of Pages: 364 pages| Language: English| Binding: Paperback| ISBN-10: 1954846630| ISBN-13: 9781954846630.

Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten, Versandgebiet: DOM.
Von Händler/Antiquariat, GreatBookPrices-, MD, Columbia, [RE:5].
100% Money Back Guarantee. Brand New, Perfect Condition. We offer expedited shipping to all US locations. Over 3, 000, 000 happy customers. Hard cover.

Von Händler/Antiquariat, Ria Christie Collections [59718070], Uxbridge, United Kingdom.
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Von Händler/Antiquariat, WorldofBooks20 [64841603], GORING BY SEA, United Kingdom.
This is a Brand New book, in perfect condition. Quick dispatch. Books.

Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Shipping costs to: USA.
Von Händler/Antiquariat, Revaluation Books.
SAS Institute, 2022. Paperback. New. 364 pages. 9.25x7.50x0.82 inches.

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