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2022-2023 Undergraduate & Graduate Catalog

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CIS 378 - Applied Machine Learning

Introduction to machine learning algorithms that learn and improve through experience. This course covers the algorithms, best practices, and use of machine learning methods on real-world applications. Topics include supervised learning, unsupervised learning, dealing with high-dimensional data, and deep learning. Offered winter semester. Prerequisites: CIS 263 and STA 215.

Credits: 3



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