{"product_id":"9781629598567","title":"Fundamentals of Predictive Analytics with JMP, Second Edition","description":"Written for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions from data and models, this updated and expanded second edition of \u003ci\u003eFundamentals of Predictive Analytics with JMP(R)\u003c\/i\u003e bridges the gap between courses on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics. Going beyond the theoretical foundation, this book gives you the technical knowledge and problem-solving skills that you need to perform real-world multivariate data analysis. \u003cp\u003eFirst, this book teaches you to recognize when it is appropriate to use a tool, what variables and data are required, and what the results might be. Second, it teaches you how to interpret the results and then, step-by-step, how and where to perform and evaluate the analysis in JMP . \u003c\/p\u003e\u003cp\u003eUsing JMP 13 and JMP 13 Pro, this book offers the following new and enhanced features in an example-driven format:\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003ean add-in for Microsoft Excel \u003c\/li\u003e\n\u003cli\u003eGraph Builder\u003c\/li\u003e\n\u003cli\u003edirty data\u003c\/li\u003e\n\u003cli\u003evisualization\u003c\/li\u003e\n\u003cli\u003eregression\u003c\/li\u003e\n\u003cli\u003eANOVA\u003c\/li\u003e\n\u003cli\u003elogistic regression\u003c\/li\u003e\n\u003cli\u003eprincipal component analysis\u003c\/li\u003e\n\u003cli\u003eLASSO\u003c\/li\u003e\n\u003cli\u003eelastic net\u003c\/li\u003e\n\u003cli\u003ecluster analysis\u003c\/li\u003e\n\u003cli\u003edecision trees\u003c\/li\u003e\n\u003cli\u003e\n\u003ci\u003ek\u003c\/i\u003e-nearest neighbors\u003c\/li\u003e\n\u003cli\u003eneural networks\u003c\/li\u003e\n\u003cli\u003ebootstrap forests\u003c\/li\u003e\n\u003cli\u003eboosted trees\u003c\/li\u003e\n\u003cli\u003etext mining\u003c\/li\u003e\n\u003cli\u003eassociation rules \u003c\/li\u003e\n\u003cli\u003emodel comparison\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWith today's emphasis on business intelligence, business analytics, and predictive analytics, this second edition is invaluable to anyone who needs to expand his or her knowledge of statistics and to apply real-world, problem-solving analysis.\u003c\/p\u003e\u003cp\u003eThis book is part of the SAS Press program.\u003c\/p\u003e","brand":"SAS Institute Inc.","offers":[{"title":"Default Title","offer_id":50094306197744,"sku":"9781629598567","price":54.95,"currency_code":"USD","in_stock":false}],"url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781629598567","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}