Apr 19, 2024  
2020-2021 Undergraduate Catalog 
    
2020-2021 Undergraduate Catalog [Archived Catalog]

ECE 44901 - Machine Learning


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.

Cr. 3.