Algorithmic Machine Learning
Algorithmic Machine Learning
This course is part of the UCLA Henry Samueli School of Engineering and Applied Science (HSSEAS) Master of Science in Engineering Online (MSOL) program. It is available only to students pre-approved by HSSEAS. For more information visit msol.ucla.edu.
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About This Course
CS 260B Algorithmic Machine Learning (Professor: Meka, R.) Lecture, four hours; outside study, eight hours. In-depth examination of handful of ubiquitous algorithms in machine learning. Covers several classical tools in machine learning but more emphasis on recent advances and developing efficient and provable algorithms for learning tasks. Topics include low-rank approximations, online learning, multiplicative weights framework, mathematical optimization, outlier- robust algorithms, streaming algorithms. S/U or letter grading.
Spring 2026 Schedule
1. Please contact the Master of Science Online (MSOL) program at admissions@seas.ucla.edu or (310) 825-6542 for approval.
2. Once approved, you may submit a petition to enroll (PTE) request through this website. Click "add to cart" to apply for enrollment.