Accelerating Innovation with Bayesian Optimization in JMP Pro 19
NOTE: Workshops require an additional fee. Bayesian optimization is an active learning technique that will dramatically reduce the time and cost of getting new products to market. It leverages all the information available, learning from the responses to make recommendations for what to try next. This workshop introduces the Bayesian Optimization platform in JMP Pro 19. Using this new platform, the methodology becomes instantly approachable to anyone familiar with the JMP Profiler’s incredible generality for handling multiple responses and input constraints. While the platform is easy for novices to learn, requiring no prior statistical or machine learning training to get started, it is no black box. Individuals with modeling experience can quickly understand how it works. The assumptions and requirements are so minimal that existing practitioners may find they have more habits to unlearn than new concepts to learn.
Please note: This workshop requires JMP Pro. We can provide access to a virtual lab to use on your laptop if you do not have JMP Pro installed at the time of the workshop.
Topics include:
- How to use the Bayesian Optimization platform to efficiently solve real industrial product and process design problems.
- The methodology behind the platform, which should inspire confidence in its use.
- When to use the Bayesian Optimization platform for the greatest benefit.
This workshop is not included with your registration fee. The fee will be charged in addition to your conference registration fee.
