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Dec 22, 2024
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COEG 0435 - MACHINE LEARNING FOR ENGINEERING
Credits: 3
Semester: 1st & 2nd, summer
Provide a solid foundation in machine learning for engineers, with a focus on supervised learning. Topics include machine Learning categories and applications, linear regression, multi-variable regression, logistic regression, Naïve Bayes classification, K-nearest neighbor (KNN), K-means clustering, notions of bias and variance, decision tress, random forest, gradient boosting trees, ensemble modeling, support vector machine, dimensionality reduction, feature extraction, manifold learning, model evaluation and improvement, artificial neural network, reinforcement learning.
Prerequisite(s): EENG 0210, EENG 0225, MENG 0237
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