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Jan 13, 2025
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ENGR 480G - Applied Machine Learning Credit Hours: 3
Lecture Contact Hours: 3 Lab Contact Hours: 0
Foundations of machine learning; supervised and unsupervised methods, regression, classification, clustering, feature engineering, working with time-series data, sensor signals, images, employing neural networks and deep learning (regression, classification, clustering); neural networks and introduction to deep learning and reinforcement learning.
Course Notes: It is recommended students have a background in engineering analysis, basic statistics, programming knowledge in MATLAB or Python.
Repeatable Course: No
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