CS 3443 Machine Learning

Three hours (On Campus)

This course provides a practical, “hands-on” introduction to machine learning. A variety of machine learning approaches will be discussed. These approaches may include linear regression, gradient descent, neural networks, reinforcement learning and/or other algorithms. The course contains a significant practical component, including several programming projects where students implement particular machine learning approaches. An additional fee may be associated with this course.

Prerequisites: CS 1113 and either MTH 1153 or MTH 2114
Offered on campus Spring semester (even-numbered years)

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