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This course is organized around algorithmic issues that arise in machine learning.
FREE
This course includes
Hours of videos
194 years, 5 months
Units & Quizzes
7
Unlimited Lifetime access
Access on mobile app
Certificate of Completion
Modern machine learning systems are often built on top of algorithms that do not have provable guarantees, and it is the subject of debate when and why they work. In this class, we focus on designing algorithms whose performance we can rigorously analyze for fundamental machine learning problems.
Course Currilcum
- Introduction Unlimited
- Nonnegative Matrix Factorization Unlimited
- New Algorithms for Nonnegative Matrix Factorization and Beyond Unlimited
- Tensor Decompositions Unlimited
- Sparse Coding Unlimited
- Learning Mixture Models Unlimited
- Linear Inverse Problems Unlimited
