JMP Statistical Discovery Workshops on September 12

JMP Statistical Discovery Academic Ambassador Ross Metusalem will visit UT, Knoxville, on September 12 from 9:00 a.m. to 11:00 a.m. Eastern Time (ET) to conduct workshops on Supervised Machine Learning, regression and ANOVA for students, faculty, and staff. Each workshop will be presented via Zoom and in person at the Humanities and Social Sciences Building (HSS), Room 201/202.

JMP Workshop Part 1 

• Topic: Regression and ANOVA
• Locations: Zoom or HSS, Room 201/202 
• Date & Time: Sept 12, 9:00 a.m.-9:55 a.m. (ET)
• Registration: tiny.utk.edu/JMPGLM

In this workshop, Ross Metusalem will demonstrate how to perform regression and analysis of variance (ANOVA) in JMP Pro. He will begin by presenting simple linear regression and one-way ANOVA before moving on to multiple regression and factorial ANOVA. Additional analyses presented will include how to perform post hoc tests, residual diagnostics, and model visualizations using JMP’s model profiling tools. The workshop will end with a quick review of more advanced linear modeling methods available in JMP Pro. 

JMP Workshop Part 2

• Topic: Supervised Machine Learning
• Location: Zoom or HSS, Room 201/202 
• Date & Time: Sept 12, 10:00 a.m.-11:00 a.m. (ET)
• Registration: tiny.utk.edu/JMPSML

In this workshop, Metusalem will discuss how supervised machine learning (ML) uses training data to build models that can accurately predict outcomes or assign category labels. He will demonstrate tools for building, validating, and deploying supervised ML models in JMP Pro. He will show you how to fit several model types, including neural networks and decision trees, perform automatic model cross-validation, and deploy machine learning models to generate predictions. JMP Pro’s Model Screening tool, which simultaneously fits and cross-validates many types of models to determine which model type might perform best on your data, will also be presented. Finally, he will briefly review the latest supervised ML advance in JMP Pro 18: Image classification models with the popular Torch deep learning package.

If you would like to meet with an OIT Research Computing Support consultant to discuss how to use JMP Pro to perform statistical analyses for your research, please call 865-974-9900 or visit help.utk.edu.