Applied Math for Data Science and Machine Learning

Catalog 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 - Introduction to Computer Science & Programming [HSDC] and CSC 155L OR CSC 170 - Programming for Engineering & Science [HSDC] and CSC 170L Cross-listed: Dual listed CSC 542