Home » Course Layouts » Free Course Layout Udemy

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

0

1

English

English [CC]

FREE

Description

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 content

  • 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

N.A

0 ratings
  • 5 stars0
  • 4 stars0
  • 3 stars0
  • 2 stars0
  • 1 stars0

No Reviews found for this course.

Instructor

Massachusetts Institute of Technology
Profile Photo
5 5
1
1916
1520

Explore Free Courses

Access valuable knowledge without any cost.