Understanding and Applying Tree-Based Methods for Predictor Screening and Modeling
Thursday, 15 October 2020
11:30 (Mumbai) | 14:00 (Singapore)
Learn to use JMP and JMP Pro tree-based modeling methods to segment predictors into groups that can be summarized in the form of a tree. See how to use these non-linear methods for regression and classification, easily interpret the results, and enhance the models using bagging, random forest and boosting techniques to create multiple trees that can further increase prediction accuracy.
Presenter: Pin Hu supports customer development and sales in the Southeast Asian region as a Senior Systems Engineer for JMP. Prior to joining JMP, Pin spent more than 16 years in the semiconductor industry where she specialized in process integration and product testing. She has over 5 years of experience as a Six Sigma coach and trainer in engineering statistics and data analysis.