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Building Better Models with JMP Pro by Mia Stephens, Sam Gardner, Jim Grayson

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9Advanced Methods

Overview

Concepts in Advanced Modeling

Bagging

Boosting

Regularization

Advanced Partition Methods

Bootstrap Forest

Boosted Tree

Boosted Neural Network Models

Generalized Regression Models

Maximum Likelihood Regression

Ridge Regression

Lasso Regression

Elastic Net

Key Take-Aways

Exercises

References

Overview

Our approach in Chapters 3 through 8 has been to provide a fundamental understanding of several core modeling techniques, and to illustrate how to apply these methods to solve business problems. For many of these techniques, there are more advanced model-building methods available, and using these advanced methods can result in improved predictive ability. In this chapter, we provide an overview of several of these more advanced ...

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