Courses from 1000+ universities
A human neural network trained on Anime subtitles was used to generate this article.
600 Free Google Certifications
Web Development
Python
Digital Marketing
Mechanics of Materials I: Fundamentals of Stress & Strain and Axial Loading
The Science of Well-Being
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Learn Linear Algebra, earn certificates with paid and free online courses from Harvard, Stanford, MIT, University of Michigan and other top universities around the world. Read reviews to decide if a class is right for you.
This course is all about matrices, and concisely covers the linear algebra that an engineer should know. We define matrices and how to add and multiply them, and introduce some special types of matrices.
Harvard's 4-week online course explores linear models and matrix algebra using R programming. Ideal for statisticians and biologists, it forms part of two professional certificates.
Explore linear algebra with a unique, visual approach by The University of Texas at Austin. Learn matrix operations, linear transformations, and more in a 15-week course.
This course is about differential equations and covers material that all engineers should know. Both basic theory and applications are taught.
Imperial College London offers a 5-week course on Linear Algebra, focusing on its application in machine learning. Learn to work with vectors, matrices, and implement concepts in Python.
This course reviews linear algebra with applications to probability and statistics and optimization–and above all a full explanation of deep learning.
This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines such as physics, economics and social sciences, natural sciences, and engineering.
This is the first course of a three course specialization that introduces the students to the concepts of linear algebra, one of the most important and basic areas of mathematics, with many real-life applications. This foundational material provides bot…
This course is the second course in the Linear Algebra Specialization. In this course, we continue to develop the techniques and theory to study matrices as special linear transformations (functions) on vectors. In particular, we develop techniques to ma…
This is the third and final course in the Linear Algebra Specialization that focuses on the theory and computations that arise from working with orthogonal vectors. This includes the study of orthogonal transformation, orthogonal bases, and orthogonal tr…
This specialization is a three course sequence that will cover the main topics of undergraduate linear algebra. Defined simply, linear algebra is a branch of mathematics that studies vectors, matrices, lines and the areas and spaces they create. These co…
Explore linear algebra with MIT's Gilbert Strang, focusing on matrices, orthogonal vectors, eigenvalues, and more. Expect 1-2 hours of material.
MIT's online offering provides an introduction to linear algebra and ordinary differential equations, with a focus on numerical solutions.
This collection of videos presents Professor Strang’s updated vision of how linear algebra could be taught. It starts with six brief videos, recorded in 2020, containing many ideas and suggestions about the recommended order of topics in teaching and le…
This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices.
Get personalized course recommendations, track subjects and courses with reminders, and more.