Accelerating Innovation with Bayesian Optimization in JMP Pro 19
Workshop
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 Bayesian Optimization in JMP Pro 19. With this new platform, the methodology will be 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 not a 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.
This workshop takes place outside of the main Discovery Summit conference. It is not included with your registration fee.
