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Oct 15, 2024
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CMPE 427 - Introduction to Machine Learning for Engineers Units: 3 Broad introduction to classical machine learning and deep learning. Principles of supervised, unsupervised, semi-supervised, reinforcement and fuzzy learning. Deep learning methods and applications. Students will gain understanding of mathematical models of major approaches and hands-on experience with industry-standard software.
Prerequisites: MATH 130; ENGR 215 or CS 301. Possible Instructional Methods: Entirely On-ground. Grading: A-F grading only.
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