CSC 442 - Applied Math for Data Science and Machine Learning

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 - Introduction to Computer Science & Programming and CSC 155L

CSC 170 - Programming for Engineering & Science and CSC 170L

Cross-listed: Dual listed CSC 542

Credits: 3

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