Live Webinar

Teaching Predictive Modeling

April 3 | 12:00 – 1:00 p.m. ET (4:00 – 5:00 p.m. UTC)

Predictive modeling encompasses a range of techniques for using historical data to predict future outcomes, and it has applications in nearly all quantitative disciplines. The JMP Student Edition has robust predictive modeling capabilities, including a range of algorithms for classification and regression, automated model cross-validation, and model comparison and deployment. And it’s no-code interface makes advanced predictive modeling approachable to students of varied backgrounds.

This webinar will demonstrate tools and tips for teaching predictive modeling with the JMP Student Edition. Topics will include:

  • Fitting a variety of model types (e.g., decision trees, neural nets)
  • Visualizations for interpreting models
  • Model cross-validation and comparison
  • The Torch Deep Learning add-in for deep neural nets (including image classification)
  • JMP teaching tips and resources

Register now for this free webinar.

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