CPSC 4430 - 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 in business intelligence, homeland security, bio-informatics, and civil engineering, 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 3200 and MATH 2200 and MATH 2100 or MATH 3100 or MGT 2120, or department head approval. Differential course fee will be assessed.

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