Courses - Fall 2024
ENEE436
Foundations of Machine Learning
Credits:
3
Grad Meth:
Reg
Prerequisite: 1 course with a minimum grade of C- from (ENEE324, STAT400); and 1 course with a minimum grade of C- from (ENEE150, CMSC216); and permission of ENGR-Electrical & Computer Engineering department.
Restriction: Permission of ENGR-Electrical & Computer Engineering department. And must be in one of the following programs (Engineering: Electrical; Engineering: Computer) ; or must be in the ECE Department's Machine Learning notation program.
Credit only granted for: ENEE436, ENEE439M, or CMSC422.
Formerly: ENEE439M.
A broad introduction to the foundations of Machine Learning (ML), as well as hands-on experience in applying ML algorithms to real-world data sets. Topics include various techniques in supervised and unsupervised learning, as well as applications to computer vision, data mining, and speech recognition.
Flagship Institution of the University System of Maryland
University of Maryland, College Park, MD 20742, USA
/
Phone:
301.405.1000
Copyright
© 2024 University of Maryland
/
Privacy /
Web Accessibility
Contact us
with comments, questions and feedback
/