DMC 345 - Introduction to Machine Learning (4 Cr.)

(GCR DA-AC)

The basic theory and practice of machine learning techniques. Topics will vary, but will broadly cover the concepts of regression, classification, learning theory, supervised and unsupervised techniques, deep learning, and reinforcement learning. The course will include programming projects using a standard open source library (e.g. Torch or TensorFlow). Prerequisite: C- or above in CS 116. Spring Semester. Staff.