May 11, 2024  
2020-2021 Undergraduate Catalog 
    
Catalog Navigation
  Catalog Home
  Message from the President
  University Calendar
  About the University
  Admissions
  General Education: The Human Community
  Degrees Offered
  Colleges
  Academic Departments
  Programs of Study
  Course Descriptions
  Academic Policies and Procedures
  Student Services and Learning Resources
  University and Post-Graduate Resources
  Tuition and Fees
  Financial Aid, Scholarships and Student Employment
  University Faculty
  Publishing Statement
  Your Right To Know
  Non-Discrimination Statement
  Archived Catalogs
HELP
2020-2021 Undergraduate Catalog [ARCHIVED CATALOG]

CS 445. Machine Learning

3.00
An introduction to the field of machine learning. Explores key problems and algorithms in machine learning from both a theoretical and an applied perspective. Specific topics include supervised and unsupervised learning, anomaly detection, text mining and experimental design. Students who have completed BSAN 393, ISAT 341 and MATH 358 may also take this course. Prerequisite: Fully admitted Computer Science majors or minors only and a grade of “C-” or better in CS 327  and one of the following:MATH 318 , MATH 220  or MATH 229 .