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DASCÂ 411H3. Honors Machine Learning. 3 Hours.
Machine learning covers: logistic regression, ensemble methods, support vector machines, kernel methods, neural networks, Bayesian inference, reinforcement learning, learning theory, and their applications in text, image, and web data processing. Students will gain hands-on experience of developing machine learning algorithms using Python and scikit-learn. Prerequisite: ¶Ù´¡³§°äÌý21003, ¶Ù´¡³§°äÌý32003, honors standing and student must be a DTSCBS major. (Typically offered: Fall)
This course is equivalent to ¶Ù´¡³§°äÌý41103.