DAT 4380: Introduction to Machine Learning (2023-2024)

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An introduction to statistical machine learning. Emphasis on applications and practical implementation of machine learning algorithms using the R programming language, with a conceptual overview of the underlying theory and mathematics. Topics include a variety of supervised learning methods for regression and classification as well as unsupervised learning methods for clustering and dimension reduction. Also explores ethical and societal issues that arise in applications of machine learning. Typically offered: Occasionally.