CSC 542 - Applied Math for Data Science and Machine Learning

3 cr

Description The course covers the physical significance of mathematical topics (e.g., linear algebra, analytical geometry, matrix operations, statistics, and probability) and the central theme of the data science and machine learning problems (e.g., regression, classifications, and decision making). It includes implementation by taking multiple applications into account.

Prerequisites and Corequisites
Pre-Req: CSC 155/L Introduction to Computer Science & Programming OR CSC 170/L Programming for Engineering & Science

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