Singular Value Decomposition Courses and Certifications

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 Video

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 Video

UofU Data Science

Singular Value Decomposition and Rank-K Approximation - Lecture 19

Dive into Singular Value Decomposition (SVD) concepts, exploring vector path tracing and rank-k approximation techniques for advanced matrix analysis and dimensionality reduction.

• YouTube
• 1 hour 24 minutes
• On-Demand
• Free Video

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 Video

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 Video

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 Video

USENIX

Efficient Decentralized Federated Singular Vector Decomposition

Innovative system for efficient decentralized federated SVD, enhancing privacy and performance in distributed applications. Outperforms existing methods with significant speed improvements and larger throughput.

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

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 Video

UofU Data Science

Principal Component Analysis and Singular Value Decomposition - Spring 2023

Master dimensionality reduction techniques through PCA and SVD, exploring multicollinearity, vector basis, and practical applications with hands-on demonstrations for effective data analysis.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

Eigenvalues, Eigenvectors, and Diagonalization with NumPy

Master advanced linear algebra concepts using NumPy, from eigenvalues and eigenvectors to matrix diagonalization and SVD, with hands-on applications in Python.

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

Linear Algebra for Data Science: Practical Applications with Python

Jump in this 20 Hours course to master essential linear algebra techniques for turning raw data into actionable insights using Python and to elevate your analytical and computational skills to attain proficiency in high-impact data solutions with real-wo…

• OpenLearning
• 20 hours
• On-Demand
• Paid Course

Eigenvalues, Eigenvectors, and Diagonalization with R

Explore eigenvalues, eigenvectors, and matrix diagonalization using R to master advanced linear algebra concepts through practical applications and hands-on coding exercises.

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

Matrix Methods

249 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
• Paid Course

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)

Recommendation Engine Bootcamp

158 ratings at Udemy

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

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