About CS 254 OL1

Introduction to machine learning algorithms, theory, and implementation, including supervised and unsupervised learning; topics typically include linear and logistic regression, learning theory, support vector machines, decision trees, backpropagation artificial neural networks, and an introduction to deep learning. Includes a team-based project. Prerequisites: STAT 151 or STAT 251; MATH 122 or MATH 124.


Online Asynchronous; Prereqs enforced by the system: STAT 151 or 251 and MATH 122 or 124; Cross listed with CSYS 395 OL1; Total combined enrollment: 45

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