JMP Academic – Teaching Predictive Modeling
Post comments and access the JMP files here: https://community.jmp.com/t5/Learn-JMP-Events/Teaching-Predictive-Modeling/ev-p/826093
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 demonstrates 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
Recorded April 3, 2025. Register for upcoming live JMP Academic webinars at https://www.jmp.com/academic-webinars.
Get JMP software free for academic use: https://www.jmp.com/student
JMP Academic resources: https://www.jmp.com/academic
Post comments and access the JMP files here: https://community.jmp.com/t5/Learn-JMP-Events/Teaching-Predictive-Modeling/ev-p/826093
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 demonstrates 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
Recorded April 3, 2025. Register for upcoming live JMP Academic webinars at https://www.jmp.com/academic-webinars.
Get JMP software free for academic use: https://www.jmp.com/student
JMP Academic resources: https://www.jmp.com/academic
