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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 |