![]() ![]() Using JMP(r) 13 and JMP(r) 13 Pro, this book offers the following new and enhanced features in an example-driven format: an add-in for Microsoft Excel Graph Builder dirty data visualization regression ANOVA logistic regression principal component analysis LASSO elastic net cluster analysis decision trees k-nearest neighbors neural networks bootstrap forests boosted trees text mining association rules model comparison With 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. Fundamentals of Machine Learning for Predictive Data Analytics. 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(r). this updated and expanded second edition of Fundamentals of Predictive Analytics with JMP(R) bridges the gap between courses on basic statistics. With the new emphasis on business intelligence, business analytics and predictive analytics, Fundamentals of Predictive Analytics with JMP is invaluable to everyone who needs to expand their knowledge of statistics and apply real problem-solving analysis. ![]() First, 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. 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. Get Fundamentals of Predictive Analytics with JMP now with the O’Reilly learning platform. Fundamentals of Predictive Analytics with JMP, Second Edition Written for students in undergraduate and graduate statistics courses, as well as for the. Book excerpt: 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 Fundamentals of Predictive Analytics with JMP(r) bridges the gap between courses on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics. Fundamentals of Predictive Analytics with JMP(R) bridges the gap between courses on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics. ![]() This book was released on with total page 406 pages. Read online free Fundamentals Of Predictive Analytics With Jmp Second Edition ebook anywhere anytime directly on your device. Book Synopsis Fundamentals of Predictive Analytics With Jmp by : Phd Ron KlimbergÄownload or read book Fundamentals of Predictive Analytics With Jmp written by Phd Ron Klimberg and published by SAS Institute. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |