Matrix Factorization Courses and Certifications

Collaborative Filtering Techniques with ALS using JS

Master collaborative filtering and ALS algorithms in JavaScript to build powerful recommendation systems with user-based, item-based, and matrix factorization techniques.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate

Credential

Recommender Systems

833 ratings at Coursera

Comprehensive exploration of recommender systems, covering fundamental techniques to advanced topics. Gain practical skills through interactive exercises and implement real-world solutions using various algorithms and tools.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD

5 ratings at edX

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/week
• Self-Paced
• Free Online Course (Audit)

Linear Algebra II: Matrix Algebra

11 ratings at edX

This course takes you through roughly three 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/week
• Self-Paced
• Free Online Course (Audit)

Machine Learning with Graphs

Master graph-based machine learning techniques including Graph Neural Networks, PageRank, knowledge graphs, and network analysis for modeling complex social, technological, and biological systems.

• YouTube
• 1 day 8 minutes
• Self-Paced
• Free Video

Machine Learning with Graphs

Master graph neural networks, node embeddings, and network analysis through Stanford's comprehensive exploration of machine learning algorithms for large-scale social and information networks.

• YouTube
• 22 hours 23 minutes
• Self-Paced
• Free Video

Credential

Introductory Linear Algebra

Explore fundamental linear algebra concepts, from systems of equations to matrix algebra, with applications in economics and computer graphics. Develop problem-solving skills for real-world scenarios.

• edX
• 6 weeks, 5-6 hours/week
• Self-Paced
• $498.00
• 2 courses

Recommender Systems and Deep Learning in Python

6243 ratings at Udemy

The most in-depth course on recommendation systems with deep learning, machine learning, data science, and AI techniques

• Udemy
• 12 hours 49 minutes
• Self-Paced
• Paid Course

A Vision of Linear Algebra

1 rating

Explore Professor Strang's innovative approach to linear algebra, covering key concepts like column space, eigenvalues, and matrix factorizations through a series of concise, insightful videos.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Recommender Systems: Behind the Screen

How are items recommended when you’re browsing for movies, jobs or clothing online? Register here and you’ll discover the fundamental concepts and methods allowing the most relevant item suggestions to users from e-commerce to online advertisement.

• edX
• 6 weeks, 4-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Les coulisses des systèmes de recommandation

Exploration approfondie des systèmes de recommandation, couvrant l'apprentissage automatique, l'évaluation, la modélisation avancée, les bandits contextuels, le classement et l'équité algorithmique.

• edX
• 3 weeks, 29-31 hours/week
• Self-Paced
• Free Online Course (Audit)

Packt

Building Recommender Systems with Machine Learning and AI

Master Python, AI, and machine learning to build advanced recommender systems. From simple engines to hybrid ensembles, learn content-based filtering, collaborative filtering, and deep learning techniques.

• Coursera
• 14 hours 23 minutes
• Self-Paced
• Paid Course

EuroPython Conference

Yak Shaving a Good Place to Eat Using Non Negative Matrix Factorization

Explore data handling techniques to analyze restaurant reviews, group users with similar tastes, and find personalized dining recommendations using non-negative matrix factorization.

• YouTube
• 25 minutes
• Self-Paced
• Conference Talk

Computational Genomics Summer Institute CGSI

Nonnegative Matrix Factorization of Count Data with the Shifted Log Transform

Explore nonnegative matrix factorization techniques for analyzing count data using shifted log transforms in computational genomics applications.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

IIT Kharagpur;  NPTEL

Recommender Systems

Explore recommender systems' foundations, algorithms, and applications. Learn data preprocessing, collaborative filtering, content-based techniques, and evaluation methods for effective recommendation systems.

• Swayam
• 8 weeks
• Self-Paced
• Free Online Course