Matrix Factorization Courses and Certifications

BIMSA

Numerical Computation for Nonnegative Matrix Factorization

Explore advanced numerical methods and computational techniques for nonnegative matrix factorization in this specialized mathematical presentation.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Matrix Factorization and Advanced Techniques

190 ratings at Coursera

Explore matrix factorization and hybrid techniques for recommender systems, covering dimensionality reduction, algorithm combination, and advanced machine learning methods for powerful recommendations.

• Coursera
• 14 hours 11 minutes
• On-Demand
• Paid Course

Institute for Pure & Applied Mathematics (IPAM)

Learning Deep Matrix Factorizations Via Gradient Descent - Implicit Bias Towards Low Rank

Explores implicit bias in gradient descent algorithms for deep matrix factorizations, analyzing convergence to low-rank matrices and discussing implications for tensor decompositions.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Serrano.Academy

How Does Netflix Recommend Movies? Matrix Factorization

Explore matrix factorization in recommender systems, focusing on Netflix's movie recommendation algorithm. Learn about dependencies, error functions, and predicting user ratings.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Fields Institute

Factorization of Completely Positive Matrices Using Iterative Projected Gradient Steps

Explore iterative projected gradient steps for factorizing completely positive matrices in this advanced mathematical lecture from the University of Vienna.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

USC Probability and Statistics Seminar

Non-convex Matrix Sensing: Breaking the Quadratic Rank Barrier in Sample Complexity

Explore groundbreaking research on non-convex matrix sensing, focusing on improved algorithms for reconstructing low-rank matrices using fewer samples through innovative probabilistic decoupling methods.

• YouTube
• 41 minutes
• On-Demand
• Free Video

Unsupervised Learning in Python

81 ratings at DataCamp

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Building Recommendation Engines with PySpark

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Building Recommendation Engines in Python

Learn to build recommendation engines in Python using machine learning techniques.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Aladdin Persson

Matrix Factorization Techniques for Recommender Systems

Explore matrix factorization techniques for building effective recommender systems, covering key concepts and practical implementation strategies.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

VinAI

Supervised Quantile Normalization for Matrix Factorization Using Optimal Transport

Explore advanced matrix factorization techniques using optimal transport for quantile normalization. Learn applications in dimensionality reduction and genomics from expert Marco Cuturi.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Computational Genomics Summer Institute CGSI

Empirical Bayes Matrix Factorization and Parts-Based Representations

Explore empirical Bayes matrix factorization and parts-based representations in computational genomics, focusing on tumor transcriptional heterogeneity analysis from single-cell RNA-seq data.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Computational Genomics Summer Institute CGSI

Matrix Factorization and Applications to Bulk and Single Cell Omic Datasets

Explore matrix factorization techniques for analyzing bulk and single-cell omic datasets, with applications in computational genomics and bioinformatics.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Microcredential

Recommendation Systems Theory and Coding

Master collaborative filtering, content-based methods, and hybrid techniques to build recommendation systems from scratch with hands-on projects and real-world applications.

• CodeSignal
• 15 hours
• On-Demand
• Free Certificate
• 4 courses

Diving Deep into Collaborative Filtering Techniques with ALS

Explore collaborative filtering techniques for recommendation systems, from user-based methods to matrix factorization and Alternating Least Squares algorithms for both explicit and implicit feedback.

• CodeSignal
• 4 hours
• On-Demand
• Free Certificate