Book description
Building Better Models with JMP® Pro provides an example-based introduction to business analytics, with a proven process that guides you in the application of modeling tools and concepts. It gives you the "what, why, and how" of using JMP® Pro for building and applying analytic models. This book is designed for business analysts, managers, and practitioners who may not have a solid statistical background, but need to be able to readily apply analytic methods to solve business problems. 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.Table of contents
- Acknowledgments
- About This Book
- About These Authors
- Part 1 Introduction
- Part 2 Preparing for Modeling
-
Part 3 Model Building
- Chapter 4 Multiple Linear Regression
- Chapter 5 Logistic Regression
- Chapter 6 Decision Trees
- Chapter 7 Neural Networks
-
Part 4 Model Selection and Advanced Methods
-
Chapter 8 Using Cross-Validation
- Overview
- Why Cross-Validation?
- Partitioning Data for Cross-Validation
-
Example
- Creating Training, Validation, and Test Subsets
- Examining the Validation Subsets
- Using Cross-Validation to Build a Linear Regression Model
- Choosing the Regression Model Terms with Stepwise Regression
- Making Predictions
- Using Cross-Validation to Build a Decision Tree Model
- Fitting a Neural Network Model Using Cross-Validation
- Model Comparison
- Key Take-Aways
- Exercises
- References
- Chapter 9 Advanced Methods
- Chapter 10 Capstone and New Case Studies
-
Chapter 8 Using Cross-Validation
- Appendix
- Index
Product information
- Title: Building Better Models with JMP Pro
- Author(s):
- Release date: August 2015
- Publisher(s): SAS Institute
- ISBN: 9781629599564
You might also like
book
Developing High Quality Data Models
Developing High Quality Data Models provides an introduction to the key principles of data modeling. It …
book
JMP for Mixed Models
Discover the power of mixed models with JMP and JMP Pro. Mixed models are now the …
audiobook
What's New in AI: Open Source Large Language Models with Eric Xing (Audio)
Join host George Anadiotis and guest Eric Xing, for a discussion about the current and expanding …
book
JMP 10 Modeling and Multivariate Methods
JMP 10 Modeling and Multivariate Methods begins by showing you how to take advantage of classic …