In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works. Since we're aiming at data-driven applications, we'll be implementing some of these ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter notebooks in Python, but don't worry, these will be quite short, focussed on the concepts, and will guide you through if you’ve not coded before. At the end of this course you will have an intuitive understanding of vectors and matrices that will help you bridge the gap into linear algebra problems, and how to apply these concepts to machine learning.

beginner🇬🇧

🌐Websites(5)

scroll for more →

website👁️ 0

Paul's Online Notes - Eigenvalues & Eigenvectors

Detailed notes with examples

beginner🇬🇧

website👁️ 0

Khan Academy Eigenvalues

Interactive lessons and exercises

beginner🇬🇧

website👁️ 0

ocw.mit.edu

MIT OpenCourseWare is a free, open collection of MIT course materials—lecture notes, videos, assignments, and exams—for self-paced learning across disciplines. It includes linear algebra resources and complete courses that cover eigenvalues and eigenvectors.

intermediate🇬🇧

website👁️ 0

mathworld.wolfram.com

MathWorld is Wolfram's comprehensive online mathematics encyclopedia, featuring in-depth, peer-reviewed-style articles, definitions, and explanations across all branches of math. It includes entries on eigenvalues and eigenvectors, linear algebra, formulas, proofs, and worked examples.

intermediate🇬🇧

website👁️ 0

khanacademy.org

Khan Academy offers free, self-paced video lessons and practice problems across math topics, including linear algebra concepts like eigenvalues and eigenvectors, with step-by-step explanations and interactive exercises.

intermediate🇬🇧

Frequently Asked Questions

What are the best free resources to learn Eigenvalues & Eigenvectors?

Dantes has curated 7 resources for Eigenvalues & Eigenvectors, including 1 videos, 3 courses, 3 websites. All resources are hand-picked for quality — no algorithmic filler. Browse the full list above to find the format that works best for you.

Is Eigenvalues & Eigenvectors hard to learn?

Eigenvalues & Eigenvectors is approachable at the beginner level — there are resources here specifically for those starting from scratch. As you progress, intermediate and advanced material is also available to take your skills further.

What types of Eigenvalues & Eigenvectors learning resources are available on Dantes?

For Eigenvalues & Eigenvectors, Dantes has curated 1 videos, 3 courses, 3 websites. Each resource type serves a different learning style: videos and YouTube for visual learners, books for depth, courses for structured progression, and websites for quick reference.

How does Dantes select Eigenvalues & Eigenvectors resources?

Dantes is an algorithm-free learning directory. Resources are hand-curated based on quality, accuracy, and usefulness — not engagement metrics or paid placements. The goal is to surface the best learning material for Eigenvalues & Eigenvectors, whether it's a free YouTube series, a classic textbook, or an open courseware from a top university.

Go deeper

Test your understanding of Eigenvalues & Eigenvectors

Explain it out loud. An AI tutor listens and asks questions that expose gaps you didn't know you had.