{"product_id":"9781119421092","title":"Ensemble Classification Methods with Applications in R","description":"\u003ch1\u003eEnsemble Classification Methods with Applications in R\u003c\/h1\u003e\u003ch3\u003eEsteban Alfaro | Matías Gámez | Noelia García\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eAn essential guide to two burgeoning topics in machine learning – classification trees and ensemble learning\u003c\/b\u003e\u003ci\u003e \u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eEnsemble Classification Methods with Applications in R\u003c\/i\u003e introduces the concepts and principles of ensemble classifiers methods and includes a review of the most commonly used techniques. This important resource shows how ensemble classification has become an extension of the individual classifiers. The text puts the emphasis on two areas of machine learning: classification trees and ensemble learning. The authors explore ensemble classification methods’ basic characteristics and explain the types of problems that can emerge in its application.\u003c\/p\u003e \u003cp\u003eWritten by a team of noted experts in the field, the text is divided into two main sections. The first section outlines the theoretical underpinnings of the topic and the second section is designed to include examples of practical applications. The book contains a wealth of illustrative cases of business failure prediction, zoology, ecology and others. This vital guide:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eOffers an important text that has been tested both in the classroom and at tutorials at conferences\u003c\/li\u003e \u003cli\u003eContains authoritative information written by leading experts in the field\u003c\/li\u003e \u003cli\u003ePresents a comprehensive text that can be applied to courses in machine learning, data mining and artificial intelligence \u003c\/li\u003e \u003cli\u003eCombines in one volume two of the most intriguing topics in machine learning: ensemble learning and classification trees\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eWritten for researchers from many fields such as biostatistics, economics, environment, zoology, as well as students of data mining and machine learning, \u003ci\u003eEnsemble Classification Methods with Applications in R\u003c\/i\u003e puts the focus on two topics in machine learning: classification trees and ensemble learning.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e \t \u003cp\u003e\u003cb\u003eESTEBAN ALFARO, MATÍAS GÁMEZ AND NOELIA GARCÍA\u003c\/b\u003e are\u003cb\u003e\u003c\/b\u003e Associate Professors at the Applied Economics Department (Statistics), Faculty of Economics and Business of Albacete, and researchers at the Regional Development Institute (IDR), University of Castilla-La Mancha. Together they have published several papers in prestigious journals on topics such as applications of ensemble trees to corporate bankruptcy, credit scoring and statistical quality control with the most notable in \u003ci\u003eJournal of Statistical Software, Vol 54.\u003c\/i\u003e \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e13 November 2018\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781119421092\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e224\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e17.6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44315709767820,"sku":"9781119421092","price":140.35,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781119421092.jpg?v=1780141916","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781119421092","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}