University of Minnesota
Matrix Factorization and Advanced Techniques
University of Minnesota

Matrix Factorization and Advanced Techniques

This course is part of Recommender Systems Specialization

Taught in English

Some content may not be translated

Michael D. Ekstrand
Joseph A Konstan

Instructors: Michael D. Ekstrand

15,227 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.3

(186 reviews)

15 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

7 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.3

(186 reviews)

15 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

Placeholder

Build your subject-matter expertise

This course is part of the Recommender Systems Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 6 modules in this course

What's included

1 video

This is a two-part, two-week module on matrix factorization recommender techniques. It includes an assignment and quiz (both due in the second week), and an honors assignment (also due in the second week). Please pace yourself carefully -- it will be difficult to finish in two weeks unless you start the assignments during the first week.

What's included

5 videos1 reading

What's included

2 videos2 readings5 quizzes1 programming assignment

This is a three-part, two-week module on hybrid and machine learning recommendaton algorithms and advanced recommender techniques. It includes a quiz (due in the second week), and an honors assignment (also due in the second week). Please pace yourself carefully -- it will be difficult to finish the honors track in two weeks unless you start the assignments during the first week.

What's included

6 videos

What's included

3 videos

What's included

7 videos1 reading2 quizzes1 programming assignment

Instructors

Instructor ratings
4.9 (8 ratings)
Michael D. Ekstrand
University of Minnesota
6 Courses107,710 learners
Joseph A Konstan
University of Minnesota
11 Courses204,248 learners

Offered by

Recommended if you're interested in Machine Learning

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 186

4.3

186 reviews

  • 5 stars

    53.76%

  • 4 stars

    32.79%

  • 3 stars

    8.06%

  • 2 stars

    4.30%

  • 1 star

    1.07%

SL
4

Reviewed on Sep 11, 2019

DD
4

Reviewed on Jan 9, 2021

NL
4

Reviewed on Apr 23, 2020

New to Machine Learning? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions