Written for college students in undergraduate and graduate data classes, in addition to for the practitioner who desires to make larger judgements from facts and

models, this up to date and accelerated moment variation of Fundamentals of Predictive Analytics with JMP® bridges the distance among classes on uncomplicated

statistics, which concentrate on univariate and bivariate research, and classes on information mining and predictive analytics. Going past the theoretical origin,

this e-book offers the technical wisdom and problem-solving abilities it's good to practice real-world multivariate information research.

First, this ebook teaches you to acknowledge while it really is acceptable to exploit a device, what variables and information are required, and what the implications will 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 e-book deals the subsequent new and stronger positive aspects in an example-driven structure:

• an add-in for Microsoft Excel
• Graph Builder
• dirty info
• visualization
• regression
• ANOVA
• logistic regression
• principal part research
• LASSO
• elastic internet
• cluster research
• decision bushes
• k-nearest pals
• neural networks
• bootstrap forests
• boosted timber
• text mining
• association principles
• model comparison

With state-of-the-art emphasis on enterprise intelligence, company analytics, and predictive analytics, this moment version is priceless to a person who must

expand his or her wisdom of facts and to use real-world, problem-solving research.

This e-book is a part of the SAS Press program.