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Courses - Fall 2017
Computer Science Department Site
Machine Learning
Credits: 3
Grad Meth: Reg, Aud
Prerequisite: CMSC421; or students who have taken courses with comparable content may contact the department; or permission of instructor.
An introduction to modern statistical data analysis using machine learning techniques. The course quickly surveys elementary statistical models (decision trees, nearest neighbors and linear regression) and moves on to more complex algorithms such as support vector machines, boosting, neural networks, structured prediction, apprenticeship learning, online learning, bandits, recommender systems and reinforcement learning. Throughout an emphasis is placed on mathematical rigor.