Miguel Á. Carreira-Perpiñán
Professor
Electrical Engineering and Computer Science
School of Engineering
University of California, Merced
mcarreira-perpinan-[at]-ucmerced.edu; 209-2284545
Office: 217, Science & Engineering Building 2
Office hours: by appointment in SE2-217.
Lectures: Tuesdays/Thursdays 3-4:15pm (COB2-262).
Lab class: Mondays 1:30-4:20pm (COB2-263).
Course web page: http://faculty.ucmerced.edu/mcarreira-perpinan/teaching/EECS282
The course reviews advanced topics in machine learning. Machine learning is the study of models and algorithms that learn information from data. Machine learning ideas underlie many algorithms in computer vision, speech processing, bioinformatics, robotics, computer graphics and other areas. The 2025 edition of the course will focus on tree-based models in machine learning, broadly understood.
Prerequisites: prior knowledge about machine learning at the level of an introductory course (e.g. having taken CSE176 at UC Merced, or equivalent), or instructor approval.