Courses from 1000+ universities
Two years after its first major layoff round, Coursera announces another, impacting 10% of its workforce.
600 Free Google Certifications
Computer Science
Data Analysis
Computer Networking
Medicine and the Arts: Humanising Healthcare
Exploring Play: The Importance of Play in Everyday Life
Songwriting: Writing the Lyrics
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Learn Vector Spaces, earn certificates with free online courses from MIT, IIT Madras, IIT Kharagpur, Rice University and other top universities around the world. Read reviews to decide if a class is right for you.
Un MOOC francophone d'algèbre linéaire accessible à tous, enseigné de manière rigoureuse et ne nécessitant aucun prérequis.
This tutorial introduces students to essential ideas related to vectors and matrices.
This course is an introduction to linear algebra. You will discover the basic objects of linear algebra – how to compute with them, how they fit together theoretically, and how they can be used to solve real problems.
Learn mathematical methods for data analysis including mathematical formulations and computational methods. Some well-known machine learning algorithms such as k-means are introduced in the examples.
In this course, you will learn systems of linear equations, Matrices, Elementary row operations, Row-reduced echelon matrices. Vector spaces, Subspaces, Bases and dimension, Ordered bases and coordinates.
Comprehensive introduction to abstract and linear algebra, covering set theory, group theory, rings, fields, matrices, vector spaces, and linear transformations for science and engineering students.
Comprehensive exploration of advanced linear algebra concepts for engineers, covering vector spaces, transformations, orthogonality, diagonalization, and singular value decomposition.
Explore fundamental concepts and techniques of linear algebra, from solving systems to eigenvalues, with emphasis on both theory and practical applications.
Master fundamental concepts of vector spaces, matrices, and linear transformations. Develop problem-solving skills in linear algebra and explore applications in various fields.
Explore vector spaces, matrices, differential equations, and their applications in this comprehensive mathematical journey.
The main purpose of this course is the study of linear operators on finite dimensional vector spaces. The idea is to emphasize the simple geometric notions common to many parts of mathematics and its applications.
Comprehensive exploration of linear algebra fundamentals, covering matrices, linear systems, vector spaces, transformations, and inner product spaces, with a focus on theoretical concepts and practical applications.
Explore vector spaces, linear maps, eigenvalues, and applications in systems, algorithms, and optimization. Gain practical skills in linear algebra for various fields.
Get personalized course recommendations, track subjects and courses with reminders, and more.