Catalog Entries |
Fall 2013
Apr 20, 2024 |
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| Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course. |
| ENGN 2520 - Pattern Recognition and Machine Learning |
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This course covers fundamental topics in pattern recognition and machine learning. We will consider applications in computer vision, signal processing, speech recognition and information retrieval. Topics include: decision theory, parametric and non-parametric learning, dimensionality reduction, graphical models, exact and approximate inference, semi-supervised learning, generalization bounds and support vector machines. Prerequisites: basic probability, linear algebra, calculus and some programming experience.
1.000 Credit hours 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Engineering Department |
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