Covers practical applications in STEM areas of decision trees, rule-based classification, support vector machines, Bayesian networks, ensemble methods, and Neural Networks. Emphasis resides on the process of applying machine learning effectively to a variety of problems. Limited to three attempts.
Required Prerequisites: (CDS 230C or 230XS) and (MATH 203C or 203XS) and (CDS 303C or 303XS). C Requires minimum grade of C. XS Requires minimum grade of XS.
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