{"product_id":"tree-based-machine-learning-methods-in-sas-viya-paperback","title":"Tree-Based Machine Learning Methods in SAS Viya - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eSharad Saxena\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\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.\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 364\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.75 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 21, 2022\u003c\/div\u003e\n            \u003c\/li\u003e\n\u003c\/ul\u003e","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47213373980921,"sku":"9781954846630","price":100.73,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/RHM1YlFZVnIzaER0a2tuOUtJZ3FwUT09.webp?v=1768104685","url":"https:\/\/bookscloud.io\/products\/tree-based-machine-learning-methods-in-sas-viya-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}