C_S 4755 - Applied Machine Learning (3)

When Offered: Fall
Machine Learning is the process of teaching a computer what to do by providing a model for learning and many examples but without explicit instructions. This course introduces algorithms and processes for machine learning, including topics such as feature selection, parameter tuning, model selection, and performance estimation, as well as algorithms for classification, regression, and clustering.
Prerequisites: C_S 3460 with a minimum grade of “C-” (1.7) or C_S 3435; MAT 2240.