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CS 712 - Foundations of Statistics & Machine Learning |
Statistical basis for machine learning. Topics include distributions, probabilities, sampling, hypothesis testing, Bayes’ theorem, maximum likelihood, machine learning theory, classes of machine learning, linear regression, kernel methods, dimensional reduction, gradient descent, ensemble techniques, and neural networks.
0.000 OR 3.000 Credit hours 3.000 Lecture hours 0.000 TO 3.000 Lab hours Levels: Graduate Schedule Types: Lecture, Lab, Examination Computer Science Department Restrictions: Must be enrolled in one of the following Programs: MSc CS (HCC) Course MSc Computer Science Project MSc CS (Data Science) Course MSc Computer Science Thesis MSc Computer Science Course Must be enrolled in one of the following Levels: Graduate |
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