ECE 532 is an introduction to machine learning and pattern recognition that focuses on matrix methods and features real-world applications, ranging from classification and clustering to denoising and data analysis.
Open to all students with a basic mathematics and computing background.
Robert Nowak and Laurent Lessard
Monday and Wednesday, 11:00am-12:15pm, 2317 Engineering Hall
Monday, 12:15-1PM, 3539 Engineering Hall
Tuesday, 4-5PM, 3539 Engineering Hall