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DSC 4310: Machine Learning

Spring 2027 · 3 credit hours · 1 section · 25 open seats as of Oct 30, 2026, 3:10 AM Central

Prerequisite(s): C or better in DSC 2335, DSC 3344, and MTH 2311. This course provides an introduction to the fundamental methods and theory of modern machine learning. Machine learning algorithms covered include: shallow, mid-level, and deep learning models and their applications as well as unsupervised learning and reinforce learning techniques.

Professors teaching DSC 4310 in Spring 2027

Xiao Shou. See their BUBooks scores and reported grades in the builder.

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Seat counts change fast during registration. The builder checks Baylor live every time you build. Always confirm CRNs in BearWeb.