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Spring 2021
Apr 19, 2021
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MATH 1620 - Mathematical Statistics
This course covers the basics of mathematical statistics and applications to data analysis, pattern recognition and machine learning. Estimation, hypothesis testing, classification and regression using linear models, tree-based methods, support vector machines, and neural networks, with other subjects as time permits.
0.000 OR 1.000 Credit hours
0.000 OR 1.000 Lecture hours

Levels: Graduate, Undergraduate
Schedule Types: Discussion Section/Conference, Primary Meeting

Mathematics Department


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