Machine learning (ML) is now a hot topic in the manufacturing industry. Many manufacturing companies urgently need a strong machine learning software tool for a host of engineering applications such as simulation and digital twins/engineering. SmartUQ software was optimally built for this purpose and is increasingly used by manufacturing companies in a diverse set of industries. It is a powerful and user-friendly machine learning software tool that allows engineers to apply ML to their analyses at ease.
This 90-minute tutorial will provide an introduction to the basics of ML. Attendees will be shown through the use of example problems how to use SmartUQ’s most popular ML tools for solving engineering problems. This will include tools for space filling Design of Experiments, data sampling, predictive modeling, sensitivity analysis, uncertainty propagation, and statistical calibration. Applications of SmartUQ tools for purposes such as acceleration of simulation efforts, reduction of testing requirements, decision making under uncertainty, virtual sensors, and digital twins will be discussed. Attendees will learn about the challenges of ML in engineering problem solving and how to address these problems using SmartUQ tools such as those for active learning and adaptive design.
This tutorial is interactive. The audience are encouraged to ask questions during the tutorial.
