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| ECE 44901 - Machine Learning |
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Credit Hours: 3.00. The purpose of this course is to provide a broad introduction to theoretical foundations, fundamental methods, techniques and algorithms as well as the latest progresses in machine learning with an emphasis on real-world problem solving. It covers learning theory, supervised learning, unsupervised learning, reinforcement learning and best practices in machine learning. Students will learn how to apply machine learning techniques to research or industry applications through interdisciplinary case studies and applications in machine learning. Department permission required.
3.000 Credit hours Syllabus Available Levels: Undergraduate, Graduate, Professional Schedule Types: Distance Learning, Lecture Offered By: Regional Campus Only Course Attributes: Upper Division May be offered at any of the following campuses: PU Fort Wayne Learning Outcomes: 1. Understand theoretical foundations of machine learning. 2. Implement a variety of machine learning algorithms. 3. Develop effective learning models and evaluate their performances. 4. Map and apply machine learning principles, methods and algorithms to real-world problems. |
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