In this presentation, JMP Chief Data Scientist Chris Gotwalt will introduce the new features in JMP 19.
In particular, we will explore the highlight of this new release: Bayesian Optimization , an "active learning" framework for industrial product and process optimization that dramatically reduces the time and resources required for product development projects.
We'll also be highlighting the following new features:
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Revamped Profiler Control Panel : Easily configure and customize your model optimization settings.
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Causal analysis (propensity score matching) : Helps uncover causal relationships in observational data, which is important in the fields of medicine and life sciences.
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Peak modeling and baseline correction methods in FDE
