C S 270
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Introduction to Machine Learning
Computer Science
College of Computational, Mathematical & Physical Sciences
Course Description
Understand the fundamental models of machine learning, such as neural networks, decision trees, data mining, clustering, Bayesian learning, ensembles, reinforcement learning, and deep learning. Work with data and machine learning tools in real world applications.
When Taught
Fall and Winter
Min
3
Fixed
3
Fixed
3
Fixed
0
Title
Machine Learning Knowledge
Learning Outcome
Students will be able to understand and apply the basic theory, models, and concepts of machine learning and be prepared for subsequent machine learning courses.
Title
Recognize
Learning Outcome
Students will be able to recognize when machine learning approaches are applicable.
Title
Execute
Learning Outcome
Students will be able to use machine learning approaches in real world applications.
