By PhD, Ron Klimberg,B. D. McCullough
models, this up-to-date and increased moment variation of Fundamentals of Predictive Analytics with JMP® bridges the space among classes on easy
statistics, which specialize in univariate and bivariate research, and classes on information mining and predictive analytics. Going past the theoretical beginning,
this ebook supplies the technical wisdom and problem-solving abilities it's good to practice real-world multivariate information research.
First, this publication teaches you to acknowledge whilst it truly is acceptable to exploit a device, what variables and knowledge are required, and what the implications could be. moment,
it teaches you the way to interpret the consequences after which, step by step, how and the place to accomplish and overview the research in JMP®.
Using JMP® thirteen and JMP® thirteen professional, this ebook bargains the subsequent new and stronger beneficial properties in an example-driven structure:
- an add-in for Microsoft Excel
- Graph Builder
- dirty info
- logistic regression
- principal part research
- elastic web
- cluster research
- decision bushes
- k-nearest buddies
- neural networks
- bootstrap forests
- boosted timber
- text mining
- association principles
- model comparison
With modern-day emphasis on company intelligence, company analytics, and predictive analytics, this moment variation is valuable to someone who must
expand his or her wisdom of records and to use real-world, problem-solving research.
This e-book is a part of the SAS Press program.
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Additional resources for Fundamentals of Predictive Analytics with JMP, Second Edition
Fundamentals of Predictive Analytics with JMP, Second Edition by PhD, Ron Klimberg,B. D. McCullough