Fundamentals of Predictive Analytics with JMP, Second Edition

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 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.

This book is part of the SAS Press program.