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In addition, this book will greatly benefit faculty members who teach any of the following subjects at the lower to upper graduate level: predictive modeling, data mining, and business analytics. Novice to advanced users in business statistics, business analytics, and predictive modeling will find that it provides a peek inside the black box of algorithms and the methods used.
Topics include: regression, logistic regression, classification and regression trees, neural networks, model cross-validation, model comparison and selection, and data reduction techniques. Full of rich examples, Building Better Models with JMP Pro is an applied book on business analytics and modeling that introduces a simple methodology for managing and executing analytics projects. No prior experience with JMP is needed.
Make more informed decisions from your data using this newest JMP book.
Author: Jim Grayson, Sam Gardner, Mia Stephens
ISBN-10: 1635269113
ISBN-13: 9781635269116
Publisher: SAS Institute
Language: English
Published: 07/20/2018
Pages: 352
Format: Hardcover
Weight: 1.80lbs
Size: 9.25h x 7.50w x 0.81d
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