{"product_id":"9781954846654","title":"Tree-Based Machine Learning Methods in SAS Viya","description":"\u003cp\u003e\u003cb\u003eDiscover how to build decision trees using SAS\u003csup\u003e\u003c\/sup\u003e Viya\u003csup\u003e\u003c\/sup\u003e!\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eTree-Based Machine Learning Methods in SAS\u003csup\u003e\u003c\/sup\u003e Viya\u003csup\u003e\u003c\/sup\u003e\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eBy the end of this book, you will know how to:\u003c\/p\u003e\u003cul\u003e \u003cli\u003ebuild tree-structured models, including classification trees and regression trees. \u003c\/li\u003e\n\u003cli\u003ebuild tree-based ensemble models, including forest and gradient boosting. \u003c\/li\u003e\n\u003cli\u003erun isolation forest and Poisson and Tweedy gradient boosted regression tree models. \u003c\/li\u003e\n\u003cli\u003eimplement open source in SAS and SAS in open source. \u003c\/li\u003e\n\u003cli\u003euse decision trees for exploratory data analysis, dimension reduction, and missing value imputation.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"SAS Institute","offers":[{"title":"Default Title","offer_id":46551603413233,"sku":"9781954846654","price":51.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9781954846654_p0.jpg?v=1765878705","url":"https:\/\/shop.barnesandnoble.com\/products\/9781954846654","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}