CS/CNS/EE/IDS 159
Advanced Topics in Machine Learning
9 units (3-0-6)
|
third term
Prerequisites: CS 155; strong background in statistics, probability theory, algorithms, and linear algebra; background in optimization is a plus as well.
This course focuses on current topics in machine learning research. This is a paper reading course, and students are expected to understand material directly from research articles. Students are also expected to present in class, and to do a final project.
Instructor:
Yue