Eigenvalues Courses and Certifications

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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video

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
• On-Demand
• Free Video

Centre de recherches mathématiques - CRM

Inequalities Between Neumann and Dirichlet Laplacian Eigenvalues on Planar Domains

Explore inequalities between Neumann and Dirichlet Laplacian eigenvalues on planar domains, generalizing Payne's theorem to simply connected Lipschitz domains using novel variational principles.

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

Centre de recherches mathématiques - CRM

Geometric Stability of Weyl's Law and Applications to Asymptotic Spectral Shape Optimization

Explore geometric stability of Weyl's law and its applications to asymptotic spectral shape optimization, focusing on eigenvalue behavior in bounded Lipschitz domains.

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

Centre de recherches mathématiques - CRM

Sharp Stability of Higher Order Dirichlet Eigenvalues

Explorez la stabilité des valeurs propres de Dirichlet d'ordre supérieur, en examinant les limites nettes pour les valeurs propres dégénérées et les groupes de valeurs propres.

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

Mathematics for Machine Learning: Linear Algebra

9 reviews

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
• On-Demand
• Free Online Course (Audit)

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

• Udacity
• 1 week
• On-Demand
• Free Online Course

Navigating Data Simplification with PCA

Master dimensionality reduction techniques using Principal Component Analysis (PCA) with Python's Scikit-learn, from basic concepts to practical implementation in machine learning projects.

• CodeSignal
• On-Demand
• Free Certificate

Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

42 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
• On-Demand
• Free Online Course (Audit)

MIT - A 2020 Vision of Linear Algebra, Spring 2020

1 review

Professor Strang presents a fresh approach to linear algebra, focusing on matrices. This concise series covers key concepts like column space, orthogonality, eigenvalues, and solving linear systems.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

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

Computational Science and Engineering I

Comprehensive review of advanced mathematical methods for engineering, covering linear algebra, differential equations, Fourier analysis, and numerical techniques with applications to various engineering 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