EECS282 Advanced Topics in Machine Learning (Fall semester 2017)


Miguel Á. Carreira-Perpiñán
Electrical Engineering and Computer Science
School of Engineering
University of California, Merced
mcarreira-perpinan-[at]; 209-2284545
Office: 217, Science & Engineering Building 2

Office hours: Tuesdays 5:30-7:30pm (SE2-217).

Lectures: Mondays/Wednesdays 12-1:15pm (COB2-274).

Lab class: Tuesdays 7:30-10:20pm (Linux Lab, SE1-100).

Course web page:

Course description

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.

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.



Required textbook:

Practical project

Implementation of the "learning-compression" (LC) algorithm for deep net quantization described here:

Schedule of presentations

Miguel A. Carreira-Perpinan
Last modified: Mon Dec 18 21:29:32 CET 2017

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