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Machine learning involves the study of algorithms capable of learning from data or prior experience. This course develops an aptitude for applying machine learning algorithms to different problem domains while at the same time, understanding the theoretical basis for machine learning algorithms. Machine learning has many applications in medicine, autonomous systems, computational biology, finance, computer vision and other domains.
Weekly Contact: Lecture: 3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1
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*List may not include courses that are on a common table shared between programs.