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Last updated:

September 23, 2022

Duration:

Unlimited Duration

FREE

This course includes:

Unlimited Duration

Badge on Completion

Certificate of completion

Unlimited Duration

Description

This course is organized around algorithmic issues that arise in machine learning.

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 Curriculum

  • 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

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Massachusetts Institute of Technology
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