CDS 403: Machine Learning Applications in Science

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Course Information from the University Catalog

Credits: 3

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.
Registration Restrictions:

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.

Schedule Type: Lecture
Grading:
This course is graded on the Undergraduate Regular scale.