DSCI 633. Machine Learning I. 4 Credits.
Applied concepts and methods in machine learning. This course will cover fundamental concepts, algorithms, and techniques. High-level conceptual and statistical tradeoffs in machine learning will feature prominently, as will key processes in model optimization, including resampling methods and an introduction to gradient descent. Both supervised and unsupervised learning techniques covered.