ELEC 478 - 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):
Prerequisite(s): (STAT 405 OR CAAM 210 OR COMP 140) AND (CAAM 335 OR MATH 355 OR MATH 354) AND (ELEC 301 OR STAT 315 OR DSCI 301)
Description: This course is an advanced introduction to concepts, methods, best practices, and theoretical foundations of machine learning. Topics covered include regression, classification, regularization, kernels, clustering, dimension reduction, decision trees, ensemble learning, and neural networks. Graduate/Undergraduate Equivalency: ELEC 578. Mutually Exclusive: Cannot register for ELEC 478 if student has credit for DSCI 303/ELEC 578.