Description
Design engineers are often faced with the challenge of finding novel and high performing designs with limited information available to them. Bayesian methods lend themselves to design problems where information is limited and beliefs about what is a good design update over time. Using python is a great way to integrate design tools with Bayesian methods and accelerate the design process.