Skip to main content
Monte Cristo Logo
Monte Cristo

Matrices

Study sheet

Matrices are rectangular arrays of numbers used to represent linear relationships and transform data. You will understand matrix operations, determinants, and inverses, enabling you to manipulate multi-dimensional data and solve complex systems of equations.

16 resources

Level
Type

📹Videos(3)

video👁️ 1

Eigenvectors and eigenvalues

Visual explanation from 3Blue1Brown Essence of Linear Algebra

beginner🇬🇧
video👁️ 1

The Wavelet Zoom

Visual demo recommended in r/math for intuition

beginner🇬🇧
video👁️ 0

3Blue1Brown: Essence of Linear Algebra (stats intro)

Visually understand linear algebra concepts crucial for descriptive statistics with 3Blue1Brown. Build intuition through engaging animations!

beginner🇬🇧

🎓Courses(6)

scroll for more →
course👁️ 0

Linear Algebra - Khan Academy

Learn linear algebra fundamentals, including matrices, vectors, and transformations, with Khan Academy's comprehensive course.

beginner🇬🇧
course👁️ 1

Linear Algebra

Learn linear algebra and its real-world applications with Gilbert Strang's MIT course. Master concepts and problem-solving!

advanced🇬🇧
course👁️ 0

Essence of Linear Algebra

Grasp determinants with 3Blue1Brown's "Essence of Linear Algebra" course. Visualize and understand this key linear algebra concept.

beginner🇬🇧
course👁️ 0

Linear Algebra (Math 18.06)

Learn linear algebra fundamentals, including vector spaces, with Gilbert Strang's renowned MIT 18.06 course.

advanced🇬🇧
course👁️ 0

Linear Algebra - Foundations to Frontiers

Learn the mathematics behind linear algebra and link it to matrix software development.

intermediate🇬🇧
course👁️ 0

Mathematics for Machine Learning: Linear Algebra

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🇬🇧

📚Books(2)

book👁️ 0

Introduction to Linear Algebra

Introduction to Linear Algebra - A book resource

intermediate🇬🇧
book👁️ 0

Linear Algebra: A Modern Introduction

Linear Algebra: A Modern Introduction - A book resource

intermediate🇬🇧

🌐Websites(5)

scroll for more →
website👁️ 1

Paul's Online Math Notes - Linear Algebra

Detailed notes on matrices, free textbook style

beginner🇬🇧
website👁️ 1

3Blue1Brown Linear Algebra Series

Visualizations for intuitive applications

beginner🇬🇧
website👁️ 0

khanacademy.org

Khan Academy is a free online learning platform offering instructional videos and interactive practice across math topics, including linear equations. It provides step-by-step lessons, examples, and exercises to help you understand and master solving linear equations.

intermediate🇬🇧
website👁️ 0

mathworld.wolfram.com

MathWorld is an online mathematics encyclopedia from Wolfram Research offering detailed, browsable articles on topics across the math spectrum, including algebra, geometry, calculus, and number theory. Each entry includes definitions, theorems, formulas, diagrams, worked examples, and links to further reading.

intermediate🇬🇧
website👁️ 0

ocw.mit.edu

MIT OpenCourseWare is a free, publicly accessible repository of MIT course materials across many disciplines, providing complete lecture notes, assignments, exams, and often video lectures from MIT courses. It includes math and other subjects, allowing self-paced study on topics such as group theory and beyond.

intermediate🇬🇧

Frequently Asked Questions

What are the best free resources to learn Matrices?

Dantes has curated 16 resources for Matrices, including 3 videos, 2 books, 6 courses, 5 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 Matrices hard to learn?

Matrices 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 Matrices learning resources are available on Dantes?

For Matrices, Dantes has curated 3 videos, 2 books, 6 courses, 5 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 Matrices 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 Matrices, whether it's a free YouTube series, a classic textbook, or an open courseware from a top university.

Go deeper

Test your understanding of Matrices

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