Machine Learning for Engineers Course Intro

This course introduces machine learning, exploring its applications in areas like self-driving vehicles and digital twins. It covers enabling factors such as data availability and computing advancements. The course integrates physics-based models with machine learning and uses TensorFlow Playground for visualization. Students will learn classification, regression, and more, with a focus on hands-on projects.

How can physics-based models be integrated with machine learning?

What are some of the challenges associated with training machine learning models?

What are the key components of the course that will help students understand machine learning?

Discuss the importance of hands-on projects in learning machine learning concepts.