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EEE 4773

Fundamentals of Machine Learning

3 Credits

Overview of machine intelligence and the role of machine learning in a variety of real-world problems. Probability and statistics to handle uncertain data. Topics covered include: learning models from data in both a supervised and unsupervised fashion, linear models and non- linear models for classification, and linear dimensionality reduction.

Topics

Topics explicitly listed in official catalogue description

Prerequisites & course information

Grading Scheme: Letter Grade Prerequisite: EEL 3135 and EEL 3850 with minimum grades of C. Attributes: Artificial Intelligence

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