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Course Description

An overview of methods whereby computers can learn from data or experience and make decisions accordingly. Topics include supervised learning,unsupervised learning, reinforcement learning, and knowledge extraction from large databases with applications to science,engineering, and medicine.Recommendations: COMP 15 and MATH 61 (formerly MATH 22) or permission of instructor (COMP 160 is highly recommended).