ELEC 578 - INTRO TO MACHINE LEARNING
Long Title: INTRODUCTION TO MACHINE LEARNING
Department: Electrical & Computer Eng.
Grade Mode: Standard Letter
Language of Instruction: Taught in English
Course Type: Lecture
Credit Hours: 3
Must be enrolled in one of the following Level(s):
Description: The course provides an introduction to concepts, methods, best practices, and theoretical foundations of machine learning. Topics covered include regression, classification, kernels, clustering, decision trees, ensemble learning, empirical risk minimization and regularization, and learning theory. Additional work is required for graduate students beyond the undergrad requirement.
Graduate/Undergraduate Equivalency: ELEC 478. Mutually Exclusive: Cannot register for ELEC 578 if student has credit for ELEC 478.