New feature of JMP 19

In this presentation, JMP Chief Data Scientist Chris Gotwalt will talk about the new features in JMP 19. 

He will provide an introduction on the highlight of this new release: Bayesian Optimization, an “active learning “framework for optimizing products and processes in industry that dramatically reduces time and resources for R&D projects.

He will also plan to cover several other new features:

• The new Profiler Control Panel in the which makes it easier to set up and customize how models will be optimized.
• Causal Treatment (and propensity score matching) for demonstrating causal relationships in observational data, which has important applications in the medical/life science area.
• Peak Modeling and Baseline Correction methods in FDE.