Detailed Course Information |
Fall 2026 Semester
Nov 15, 2026 |
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| DS 4420 - Advanced Machine Learning |
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Covers advanced supervised and unsupervised machine learning concepts. Focuses on mathematical and computational foundations of learning algorithms. Topics may include kernel methods and models appropriate for structured data, including time-series and other sequences. Covers parameter estimation techniques (including Bayesian learning); generative models; and sampling strategies like Markov Chain Monte Carlo methods. May include mathematical proofs and empirical analysis as methods to assess the validity and performance of algorithms. Applies concepts to common problem domains.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Data Science Department Course Attributes: NUpath Analyzing/Using Data, NUpath Capstone Experience, NUpath Writing Intensive, Computer&Info Sci Restrictions: Must be enrolled in one of the following Levels: Undergraduate Prerequisites: Undergraduate level DS 4400 Minimum Grade of D- |
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