Join data experts Ian Cox and Robert Anderson for a complimentary seminar introducing statistical modelling and exploring how to apply the concept effectively. Through a variety of case studies, you'll learn to build more effective, strategically-designed models with advanced predictive modelling techniques such as regression, neural networks and decision trees. You'll learn to partition your data into training, validation and test sets to prevent overfitting. And you'll see how to use comparison techniques to find the best predictive model.
Through a series of case studies, the presenters will demonstrate best practices for:
- Creating visual models in the JMP Graph Builder to extract more insight from data in less time.
- Using exploratory modelling and partitioning to explore data thoroughly and test alternative solutions quickly.
- Optimizing statistical models to predict, improve and control outcomes to deliver better, lower cost products, processes and services.
- Constructing models from incomplete data without needing to clean up outliers or take special measures to manage correlated predictors.