Course Schedule and Catalog
Course Schedule - Fall Semester 2014
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
ELEC 681 001 (CRN: 12841)
FUNDAMENTALS MACHINE LEARNING
Long Title: FUNDAMENTALS OF MACHINE LEARNING
Department: Electrical & Computer Eng.
Instructor: Schwanauer, Stephen M.
Meeting: 2:00PM - 4:59PM F (25-AUG-2014 - 5-DEC-2014)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Section Max Enrollment: 23
Section Enrolled: 16
Enrollment data as of: 19-APR-2024 3:51PM
Description: This course examines the fundamentals of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. This course will provide the student with the formal concepts and the basic intuition for the different topics of machine learning, from artificial neural networks to value function approximation. Because of the shared problems of machine learning, statistical inference, and signal processing, a focus of the course will be on share solution, e.g., dimensionality reduction, of these three fields. Repeatable for Credit.