Matrix Factorization courses and certifications

Columbia University

Machine Learning

Master the essentials of machine learning and algorithms to help improve learning from data without human intervention.

edX
Fixed dates
Free to audit
Paid certificate
Advanced

University of Minnesota

Matrix Factorization and Advanced Techniques

4.4190 ratings

In this course you will learn a variety of matrix factorization and hybrid machine learning techniques for recommender systems. Starting with basic matrix factorization, you will understand both the intuition and the practical details of building recommender systems based on reducing the dimensiona…

Partner

Coursera
14 hours
Self-paced
Paid · free trial
Paid certificate

The Georgia Institute of Technology

Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD

4.65 ratings

This course takes you through roughly five weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology.

edX
3 weeks, 5 - 6 hours per week
Self-paced
Free to audit
Paid certificate
Intermediate

CodeSignal

Recommendation Systems Theory and Coding in JS

Master the essentials of building recommendation systems from scratch in JavaScript! This course covers collaborative filtering, content-based methods, hybrid techniques, and evaluation metrics through hands-on projects and real-world applications.

edX
Self-paced
Free to audit
Paid certificate
Advanced

University of Minnesota

Recommender Systems

Master recommender systems.

PartnerLearning path or series

Coursera
Self-paced
Paid · free trial
Paid certificate

Udacity

Data Scientist Nanodegree Program

4.8814 ratings

This advanced Nanodegree prepares you to tackle data science at scale. Work with AI best practices, build production-ready projects, and gain the confidence to lead data-driven solutions.

PartnerLearning path or series

Udacity
5 minutes
Self-paced
Paid course
Advanced

Udacity

Unsupervised Machine Learning and Recommendation Systems Course

This course covers advanced data science topics related to unsupervised machine learning. You will apply techniques including clustering and dimensionality reduction, then learn about the different strategies for generating personalized recommendations. The final lesson of the course covers practic…