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Understanding the Principles for Building Predictive Models

 

Learn about:

• Two approaches
  • Global - more stable, less flexible
  • Local - less stable, more flexible
• Preventing overfitting
• Linear Regression, Stepwise Regression, Generalized Regression, Penalized Regression
• Decision Trees, Bootstrap Forests
• Boosted Trees
• Neural Networks
• Importance of test sets and how to use them
• Comparing and choosing models   

Note: This video uses JMP 14 and JMP Pro 14.

Predictive Modeling and Machine LearningRe: Understanding the Principles for Building Predictive Models

Nice overview! At around the 27 minute mark they start to give a basic overview/introduction to some of the different types of models. I found their explanations to be clear and concise of why to choose one model over the other.