This is the on-demand version of the Bayesian optimization seminar held on May 28, 2026.
The seminar recording has been edited and divided into five parts.
*This seminar uses the latest version available at the time of the seminar, "JMP Pro 19.1.2". Reports and operating procedures may change with version updates.
About Bayesian optimization in JMP Pro
(table of contents)
1. The image of optimization
2. Basic Concepts of Bayes Optimization
3. Comparison of Optimization using Design of Experiments (DOE) and Bayesian Optimization 3-1. Optimization using DOE 3-2. Optimization using Bayesian Optimization
4. Features of the JMP Pro "Bayes Optimization" Platform
5. Practical Examples of Bayes Optimization 5-1 Case 1: Yield Optimization of Enzyme-Catalyzed Reactions 5-2 Case 2: Optimization of Plastic Injection Molding
Introduction (8 minutes 19 seconds)
1. Image of the optimization process (6 minutes 11 seconds)
2. Basic Concepts of Bayes Optimization (6 minutes 53 seconds)
3. Comparison of Optimization using Design of Experiments (DOE) and Bayesian Optimization
3-1. Optimization using DOE (15 minutes 8 seconds)
3-2. Optimization using Bayesian optimization and a comparison of both methods (9 minutes 29 seconds)
4. Features of the JMP Pro "Bayes Optimization" Platform (5 minutes 48 seconds)
5. Practical Examples of Bayes Optimization
5-1 Case study1:Yield optimization of enzyme-catalyzed reaction (15 minutes 42 seconds)
5-2 Case study2:Optimization of plastic injection molding (10 minutes 42 seconds)
