DASC 41103 — 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. Corequisite: DASC 41203 , ( DASC 489H2 or DASC 48902 ). Prerequisite: DASC 21103 , ( DASC 310H3 or DASC 31003 ), DASC 32003 with a C or better, DASC 32103 , and student must be a DTSCBS major. (Typically offered: Fall)
Prerequisites: DASC 21103, DASC 31003, DASC 32003, DASC 32103