This workshop will provide an introduction to applied machine learning through hands-on numerical experiments. Participants will explore techniques ranging from physics-informed surrogate modeling to advanced topic modeling, along with practical applications of Python for efficient data extraction and wrangling.

• Data Foundations: Master data wrangling and extraction using Python.
• Advanced Modeling: Develop surrogate models with and without physics-based constraints.
• Natural Language Processing: Implement topic modeling and text classification.
• Academic Pathways: Learn about the Engineering Data Analytics Graduate Certificate Program.