2022-2023 Undergraduate Catalogue Archived Catalogue
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CSC 322 - Data & Machine Learning
Concepts/techniques in machine learning and multidisciplinary applications. Topics include data cleaning/transformation; data visualization; association/correlation rules; data classification and predictive modeling (such as SVMs); performance analysis and scalability; data mining with tabular, multi-dimensional and unstructured data, including text, audio, images; big-data frameworks (such as Spark, Hadoop, HIVE, Pig); and emerging themes and challenges.
Credit Hours: 3
Prerequisite Courses: CSC 302 , or instructor approval.
Course Repeatability: Course may not be repeated. Maximum Repeatable Hours: 3
Click here for the Fall 2024 Class Schedule.
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