91.422 Machine Learning

Machine Learning

Course Details
Min Credits 3
Max Credits 3
Course ID 8106
Status Active

This introductory course gives an overview of machine learning techniques used in data mining and pattern recognition applications. Topics include: foundations of machine learning, including statistical and structural methods; feature discovery and selection; parametric and non-parametric classification; supervised and unsupervised learning; use of contextual evidence; clustering, recognition with strings; small sample-size problems and applications to large datasets.

Pre/Co-Requisites: Pre-Reqs: 91.102 Computing II, 92.322 Discrete Structures and 92.386 Probability & Statistics I.