Singular Value Decomposition Courses and Certifications

Serrano.Academy

Singular Value Decomposition and Image Compression

Learn singular value decomposition (SVD) and its application in image compression. Explore matrix transformations, dimensionality reduction, and practical implementation techniques.

• YouTube
• 29 minutes
• On-Demand
• Free Online Course

Institute for Pure & Applied Mathematics (IPAM)

Learning-Based Low-Rank Approximations - IPAM at UCLA

Explores learning-based algorithms for low-rank matrix approximation, focusing on optimizing sketching matrices using training data to significantly reduce approximation errors in efficient computational methods.

• YouTube
• 49 minutes
• On-Demand
• Free Online Course

Steve Brunton

SVD Part 2

Explore advanced concepts of Singular Value Decomposition (SVD) in data analysis and dimensionality reduction, building on fundamental principles to enhance understanding of matrix factorization techniques.

• YouTube
• 49 minutes
• On-Demand
• Free Online Course

Simons Institute

Foundations of Data Science II

Explore advanced data science concepts including SVD, Gaussian mixtures, and Markov chains. Learn about randomized algorithms and low-rank approximations for efficient data handling.

• YouTube
• 55 minutes
• On-Demand
• Free Online Course

Data Science Dojo

Singular Value Decomposition with R - Introduction to Text Analytics with R Part 8

Learn to perform truncated SVD, project TF-IDF vectors into semantic space, compare decision tree and random forest models, and explore random forest tuning using R packages like irlba and caret for text analytics.

• YouTube
• 34 minutes
• On-Demand
• Free Online Course

Numerical Methods Applied to Chemical Engineering

Explore advanced numerical methods for solving complex chemical engineering problems, including heat transfer, fluid mechanics, and molecular simulation. Gain practical skills in computational techniques.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

Linear Algebra

Master matrix theory and linear algebra, exploring systems of equations, vector spaces, determinants, eigenvalues, and applications in various disciplines. Gain practical skills for solving complex mathematical problems.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

A Vision of Linear Algebra

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
• On-Demand
• Free Online Course

Matrix Methods

238 ratings at Coursera

Explore fundamental matrix methods essential for machine learning and data analysis, including multiplication, linear equations, orthogonality, and SVD for dimensionality reduction and PCA.

• Coursera
• 6 hours 35 minutes
• On-Demand
• Free Online Course (Audit)

Linear Algebra II: Matrices and Linear Transformations

5 ratings at edX

This course provides an overview of bachelor-level linear algebra. You will review all the concepts and practice and refresh the skills related to matrices and linear transformations.

• edX
• 6 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

Linear Algebra Basics

Explore vector spaces, linear transformations, eigenvalues, and matrix decompositions. Gain essential mathematical foundations for machine learning and data science applications.

• Coursera
• 21 hours 9 minutes
• On-Demand
• Free Online Course (Audit)

Recommendation Engine Bootcamp

156 ratings at Udemy

Master recommendation systems Industry Projects using using modern recommendation techniques and methodologies

• Udemy
• 4 hours 22 minutes
• On-Demand
• Paid Course

EIT Digital;  Politecnico di Milano

Advanced Recommender Systems

23 ratings at Coursera

Explore advanced machine learning techniques for sophisticated recommender systems, including hybrid filtering, factorization machines, and cross-domain recommendations to enhance prediction accuracy and user experience.

• Coursera
• 14 hours 49 minutes
• On-Demand
• Free Online Course (Audit)

Steve Brunton

Singular Value Decomposition

2 reviews

Comprehensive exploration of Singular Value Decomposition, covering mathematical foundations, applications in data processing, and implementation in MATLAB and Python for various real-world scenarios.

• YouTube
• 7 hours
• On-Demand
• Free Online Course

MathWorks

Introduction to Linear Algebra with MATLAB

1 review

Use matrix methods to solve systems of linear equations and perform eigenvalue decomposition.

• MATLAB Academy
• 2 hours
• On-Demand
• Paid Course