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Fundamentals of Predictive Analytics with JMP, Second Edition

Fundamentals of Predictive Analytics with JMP, Second Edition

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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 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. 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.
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. 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 .
Using JMP 13 and JMP 13 Pro, this book offers the following new and enhanced features in an example-driven format:
an add-in for Microsoft Excel Graph Builderdirty datavisualizationregressionANOVAlogistic regressionprincipal component analysisLASSOelastic netcluster analysisdecision treesk-nearest neighborsneural networksbootstrap forestsboosted treestext miningassociation 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.
This book is part of the SAS Press program.
Product details
Binding:
Paperback
Edition:
2
Number of Pages:
406
Release Date:
2016-12-15
Publication Date:
2017-12-19
Publisher:
SAS Institute
Languages:
Original: English
ISBN10:
1629598569
ISBN13:
9781629598567
Weight:
755 g
Height:
191 cm
Width:
235 cm
Thickness:
22 cm
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