Course Schedule - Spring Semester 2018

     

ELEC 681 001 (CRN: 22344)

FUNDAMENTALS MACHINE LEARNING

Long Title: FUNDAMENTALS OF MACHINE LEARNING
Department: Electrical & Computer Eng.
Instructor: Schwanauer, Stephen M.
Meeting: 2:00PM - 4:50PM F AEL A121 (8-JAN-2018 - 20-APR-2018) 
Session: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
 
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 23
Section Enrolled: 15
Enrollment data as of: 19-SEP-2020 6:23PM
 
Fees: None
 
Final Exam: GR Course-Dept Schedules Exam
 
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.