Eigenvectors Courses and Certifications

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
• Self-Paced
• Free Certificate

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
• Self-Paced
• Free Certificate

Mathematics for Machine Learning: Linear Algebra

9 ratings

Explore linear algebra fundamentals and their applications in machine learning, covering vectors, matrices, eigenvalues, and practical implementations in Python for data-driven tasks.

• Coursera
• 18 hours 50 minutes
• Self-Paced
• Paid Course

Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

77 ratings at Coursera

Develop matrix algebra techniques, study determinants, and explore eigenvectors to analyze linear transformations. Apply concepts to Markov chains and Google PageRank algorithm.

• Coursera
• 14 hours 53 minutes
• Self-Paced
• Paid Course

Eigenvectors and Eigenvalues

3 ratings at Udacity

Learn how to calculate eigenvalues and eigenvectors and why they are important for AI applications.

• Udacity
• 1 hour
• Self-Paced
• Free Online Course

Professor Dave Explains

Finding Eigenvalues and Eigenvectors

Explore eigenvalues and eigenvectors in linear algebra, their importance in math and physics, and learn how to find them through clear explanations and examples.

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

Steve Brunton

Solving Systems of Differential Equations with Eigenvalues and Eigenvectors

Learn to solve systems of linear ODEs using eigenvalues and eigenvectors. Covers problem setup, solution methods, and intuitive interpretation, with code examples in Python and MATLAB.

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

Steve Brunton

Motivating Eigenvalues and Eigenvectors with Differential Equations

Explore eigenvalues and eigenvectors through differential equations, deriving key concepts and visualizing their applications in matrix systems for a deeper understanding of linear algebra.

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

Steve Brunton

Matrix Systems of First Order Equations Using Eigenvectors and Eigenvalues

Explore matrix systems of first-order equations, diagonalization techniques, and higher-order linear ODEs. Learn to solve complex differential equations using eigenvectors and eigenvalues.

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

Steve Brunton

Eigenvalues and Eigenvectors

Explore eigenvalues and eigenvectors, key concepts in linear algebra. Learn to compute them for any matrix, understand their significance in transformations, and apply them to solve complex linear systems.

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

Steve Brunton

2x2 Systems of ODEs - With Eigenvalues and Eigenvectors, Phase Portraits

Explore 2x2 systems of ODEs, eigenvalues, eigenvectors, and phase portraits in engineering mathematics. Learn to analyze and visualize complex dynamical systems.

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

Steve Brunton

Eigenvalues, Eigenvectors, and Dynamical Systems

Explore eigenvalues, eigenvectors, and dynamical systems in engineering mathematics, focusing on their applications and significance in solving complex problems.

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

Tom Rocks Maths

Oxford Linear Algebra - Eigenvalues and Eigenvectors Explained

Comprehensive tutorial on calculating eigenvalues and eigenvectors of matrices, featuring two worked examples. Covers the eigenvalue equation, characteristic polynomial, and step-by-step solutions for 2x2 and 3x3 matrices.

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

Linear Algebra for Data Science in R

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Facial Recognition: Eigenvectors and Covariance Matrices - Lecture 14

Explore facial recognition technology, from simple approaches to advanced techniques using eigenvectors and covariance matrices. Learn about challenges and solutions in this field.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video