CDS 403: Machine Learning Applications in Science

CDS 403-001: Machine Learn Applications Sci
(Fall 2023)

04:30 PM to 07:10 PM T

Peterson Hall 2408

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
This course is graded on the Undergraduate Regular scale.

The University Catalog is the authoritative source for information on courses. The Schedule of Classes is the authoritative source for information on classes scheduled for this semester. See the Schedule for the most up-to-date information and see Patriot web to register for classes.