2024-2025 Undergraduate & Graduate Catalog
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