Active Learning in JMP - Chris Gotwalt ENBIS WorkshopIn industrial R&D and process improvement we experiment to understand wickedly complex, multifactor systems. Empirical models of our processes enable us to bring new technologies to market and deliver consistent quality for our customers. Statistical Design and Analysis of Experiments (DOE) is a proven methodology for efficiently capturing the data to build the required model of your process or system. More recently there has been interest in applying "Bayesian Optimization" or "Active Learning" in process and formulation development. These sequential experimentation methods promise greater speed and a simpler workflow for non-statisticians by prioritising goal-seeking over model-building.
JMP, as the leading DOE software and a complete data science tool for scientists and engineers, is the ideal environment for exploring these different approaches. This workshop with JMP Chief Data Scientist, Chris Gotwalt, will be a unique opportunity to see case studies on "model-agnostic" experimentation.
Watch a recording of the workshop from 18 December 2024:
We have also attached the slides, JMP journal and JMP Addin (JMP Pro only) that were used in the workshop.

Watch the recording of this workshop with Chris Gotwalt and Phil Kay.
Re: Active Learning in JMP - Chris Gotwalt ENBIS Workshop@Phil_Kay which JMP version is used for this demo. JMP18? Thank you
Re: Active Learning in JMP - Chris Gotwalt ENBIS WorkshopHi @JessicaHorsch ,
This uses JMP Pro 18 and a prototype addin for Bayesian Optimization. The capability in JMP Pro 19 (Septmember 2025) will be very different.
Hope that helps but let me know if you have other questions.
Phil
Re: Active Learning in JMP - Chris Gotwalt ENBIS Workshop Hi @JessicaHorsch and @Phil_Kay . Everyone can also view the video from the @chris_gotwalt1 Developer Tutorial he gave Oct. 31, 2025 on the new Bayesian Optimization.
Re: Active Learning in JMP - Chris Gotwalt ENBIS WorkshopHello @gail_massari, is there a video recording of the Oct 31st tutorial? Is this the one you are referring too? https://community.jmp.com/t5/Learn-JMP-Events/Developer-Tutorial-Bayesian-Optimization/ev-p/894910 Thank you.
Re: Active Learning in JMP - Chris Gotwalt ENBIS WorkshopHi @Maggie_Kelly Welcome to the JMP Community. Yes, that is the video. After people register for a webinar I post the video to the same link. You reminded me to update that previous comment now that the Oct. 31 webinar is over.