COMP 379: Machine Learning

Course Information

General Information

Credit Hours

• 3

Prerequisites

• COMP 231: Data Structures & Algorithms for Informatics or COMP 271: Data Structures I

• One or more of the following:

  • STAT 103: Fundamentals of Statistics

  • STAT 203: Statistics

  • ISSCM 241: Business Statistics

  • PSYC 304: Statistics

  • Instructor permission

About

Description

Machine learning is the process of making predictions and decisions from data without being explicitly programmed. Topics include a variety of supervised learning methods. Ensemble approaches are used to combine independent models efficiently. Unsupervised and semi-supervised methods demonstrate the power of learning from data without an explicit training goal.

Outcome

Students in this course will learn how to apply sophisticated algorithms to large data sets to make inferences for prediction or decision making.

Syllabi

See the Current Course Syllabi.