Demo Topic
Intro to Bayesian Optimization
Purpose
A short demo of BayesOpt, with 3 separate models/problems to work with.
Video
Analytical Workflow(s)
Predictive Modeling and Machine Learning, DOE
Industry(s)
General Purpose
Questions Being Answered
What is Bayesian Optimization, and how might it be useful for me?
What is the Story/Scenario
Stories for each of the 3 scenarios are in the journal.
JMP Features and Platforms
Bayesian Optimization
Discovery Call Preparation, What to Ask and Possible Pain Points to Look For
Look for people trying to rescue DOEs that had failing runs, people looking to optimize complex design spaces, people stuck in OFAT land, people asking "What is JMP doing with AI/Machine Learning?". BayesOpt has a ton of uses.
Included Material
Journal has all needed data embedded.
Leave Behind
If this is for a "Tune in to learn about BayesOpt" type demo, the leave behind is: What's the first question you're going to use BayesOpt to answer?
Tips for Delivering the Demo
The Lab section for each of the problems has a variety of functions. These can be useful for different types of audience questions. I'd recommend playing with the labs beforehand so you know what each button does.
