Machine Learned Design Spaces

In this webinar, we will explore the integration of Machine Learning and Parametric Models for the purpose of early design space exploration and optimization. Several case studies will be used to describe the different considerations and best-practices regarding setting up parametric models, generating and extracting data, applying learning tasks (classification vs regression), and optimizing, selecting & deploying models into production.