DSE 448 Machine Learning

Credits: 3

A systematic study of the theory and algorithms that constitute machine learning. It covers learning based on examples including genetic algorithms, case-based reasoning, decision trees, and Bayesian methods.

Prerequisites: (CSC 115 or CSC 170), MATH 315, and MATH 381
Notes: This course is cross-listed with CSC 448.

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