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ELEC 378

MACHINE LEARNING: CONCEPTS AND TECHNIQUES

Credit Hours: 3 · Undergraduate Upper-Level

This course deals with machine learning, from its theoretical mathematical foundations to practical implementation in computer algorithms for data science applications. The course follows a deterministic rather than probabilistic approach to focus on the key concepts; linear algebra plays a starring role.

Prerequisites & course information

Short Title: MACHINE LEARNING CONCEPTS Department: Electrical & Computer Eng. Grade Mode: Standard Letter Course Type: Lecture Credit Hours: 3 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level Prerequisite(s): MATH 355 or MATH 354 or CAAM 335 or CMOR 302 or CAAM 334 or CMOR 303

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