What You Need to Know Before
You Start
Starts 25 June 2025 14:08
Ends 25 June 2025
Matrix Factorization and Advanced Techniques
University of Illinois at Urbana-Champaign
9 Courses
The University of Illinois at Urbana-Champaign is one of the leading public universities in the country, providing top-tier academic programs and research opportunities within a lively campus community.
Not Specified
Optional upgrade avallable
All Levels
Progress at your own speed
Free
Optional upgrade avallable
Overview
Explore the world of recommender systems with the University of Illinois at Urbana-Champaign's course on Matrix Factorization and Advanced Techniques, available on Coursera. Dive deep into matrix factorization, a cornerstone technique for dimensionality reduction in user-product preference spaces, offering the foundation for creating efficient recommender systems.
Beyond the basics, this course extends into hybrid machine learning strategies that synergize various algorithms for enhanced recommendation capabilities. Whether you're interested in Artificial Intelligence, Machine Learning, or specifically Recommender Systems, this course lays down the intricacies and practical know-how needed to excel in these domains.
Taught by
Michael D. Ekstrand and Joseph A Konstan
