CPSC 5440 - Introduction to Machine Learning

(3) Credit Hours

Machine learning uses interdisciplinary techniques such as statistics, linear algebra, optimization, and computer science to create automated systems that can sift through large volumes of data at high speed to make predictions or decisions without human intervention. Machine learning as a field is now incredibly pervasive, with applications spanning from business intelligence to homeland security, from analyzing biochemical interactions to structural monitoring of aging bridges, and from emissions to astrophysics, etc. This class will familiarize students with a broad cross-section of models and algorithms for machine learning, and prepare students for research or industry application of machine learning techniques. Prerequisites: CPSC 5000 or Department Head approval. Credit may not be earned in both DATA 5195 and CPSC 5440. Differential Course Fee will be assessed.