hanhuark/MEEG-54403
MEEG-44403/54403 Machine Learning for Mechanical Engineers at the University of Arkansas
This course material introduces machine learning specifically for mechanical engineering challenges. It takes real-world engineering data, like images or time-series signals from experiments and simulations, and teaches you how to use machine learning models in Python and MATLAB to predict physical quantities, classify dynamic signals, or create surrogate models. It's designed for university students, particularly those in mechanical engineering programs, looking to apply data science methods to their field.
Use this if you are a mechanical engineering student or practitioner who wants to learn how to apply machine learning algorithms to solve engineering problems using experimental data.
Not ideal if you are looking for a general-purpose machine learning course focused solely on theoretical computer science concepts or if you are not interested in hands-on application to mechanical engineering data.
Stars
45
Forks
11
Language
Jupyter Notebook
License
BSD-3-Clause
Category
Last pushed
Nov 12, 2025
Commits (30d)
0
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