ELEC 475: LEARNING FROM SENSOR DATA
Spring 2027 · Section 001 · CRN 20607
Basic information theoretic metrics and probabilistic machine learning tools for signals, images, and other data acquired from sensors, including graphical models, density estimation, principal components analysis, support vector machines, and source separation. Graduate/Undergraduate Equivalency: ELEC 575. Mutually Exclusive: Cannot register for ELEC 475 if student has credit for ELEC 575. Cross-list: ELEC 575. Mutually Exclusive: Cannot register for ELEC 475 if student has credit for ELEC 575.
- Credits
- 3
- Instructors
- Behnam Azhang