Coursera Linear Algebra Courses List

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16 Related Courses

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First Steps in Linear Algebra for Machine Learning

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4.3/5
Coursera Coursera 4,400 4,400 learners
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This course from National Research University Higher School of Economics provides an introduction to linear algebra for machine learning, covering topics such as vectors, matrices, and linear transformations. View all

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Introduction to Linear Algebra and Python

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5.0/5
Coursera Coursera 162 162 learners
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This course introduces the fundamentals of linear algebra and Python programming, providing a foundation for further exploration of data science. It is ideal for those looking to gain an understanding of the basics of data science and apply them to real-world problems. View all

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Linear Algebra for Machine Learning and Data Science

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4.0/5
Coursera Coursera
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This course provides learners with the necessary skills to apply linear algebra to machine learning and data science. Upon completion, learners will be able to understand and apply linear algebra concepts to solve real-world problems. View all

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Coding the Matrix: Linear Algebra through Computer Science Applications

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5.0/5
Coursera Coursera
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This course explores the use of linear algebra in computer science applications, with a focus on matrices and vectors. It provides an understanding of how these concepts are used in various areas of computer science, such as graphics, image processing, cryptography, and more. View all

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Algebra & Algorithms

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5.0/5
Coursera Coursera
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This course explores the interplay between algebra and algorithms, demonstrating how algebraic structures and theorems can be used to develop algorithms for various tasks. Students will gain an understanding of how computers use algebraic computations and how algebra can be applied to computer science. Programming assignments are included to reinforce the concepts. View all

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Mathematics for Machine Learning: Linear Algebra

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5.0/5
Coursera Coursera
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This course on Linear Algebra explores the fundamentals of vectors and matrices, as well as the application of eigenvalues and eigenvectors to solve problems. It also covers the use of linear algebra to manipulate datasets, such as rotating images and understanding the Pagerank algorithm. View all

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Fundamental Linear Algebra Concepts with Python

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5.0/5
Coursera Coursera
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Learn the basics of Fundamental Linear Algebra Concepts with Python View all

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Matrix Methods

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4.0/5
Coursera Coursera
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This course introduces learners to Matrix Methods, a powerful tool for machine learning and data analysis. Topics include matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares approximation. Optional Python examples are used to illustrate the concepts and allow learners to experiment with the algorithms. View all

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Matrix Algebra for Engineers

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4.0/5
Coursera Coursera
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This course provides an introduction to matrix algebra for engineers, covering the linear algebra fundamentals necessary for success. It is designed for those who have completed a university-level single variable calculus course, but is open to anyone interested in learning the basics of matrix algebra. The mathematics is presented at an advanced high school level, requiring a basic level of mathematical maturity. View all

Free

Math for AI beginner part 1 Linear Algebra

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5.0/5
Coursera Coursera 80 80 learners

Learn the basics of Math for AI beginner part 1 Linear Algebra View all

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Линейная алгебра (Linear Algebra)

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5.0/5
Coursera Coursera 65 65 learners

Онлайн курс для дистанционного изучения линейной алгебры на нематематических факультетах. View all

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Doğrusal Cebir I: Uzaylar ve İslemciler & Linear Algebra I: Spaces and Operators

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4/5
Coursera Coursera 26 26 learners

Bu ders doğrusal cebir ikili dizinin birincisidir. Doğrusal uzaylar kavramı, doğrusal işlemciler, matris gösterimleri ve denklem sistemlerinin hesaplanabilmesi için temel araçlar vb. konuları içermektedir. Ders gerçek yaşamdan gelen uygulamaları da tanıtmaya önem veren “içerikli yaklaşımla” tasarlanmıştır. View all

Free

Линейная алгебра и аналитическая геометрия

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5.0/5
Coursera Coursera 25 25 learners

Курс является связующим звеном между математическими курсами общеобразовательной средней школы и вузовскими математическими курсами, частично входящими в основные образовательные программы высшего образования. Отбор содержания курса и его компоновка носит авторский характер. View all

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Doğrusal Cebir II: Kare Matrisler Hesaplama Yontemleri ve Uygulamalar & Linear Algebra II: Square Matrices Calculation Methods and Applications

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4.5/5
Coursera Coursera 15 15 learners

Doğrusal cebir ikili dizinin ikincisi olan bu ders birinci derste verilen temel bilgilerin üzerine eklemeler yapılarak tamamen matris işlemleri ve uygulamalarını kapsamaktadır. Cebirsel denklem sistemleri, sonuçların tekilliği ve var olup olmadığı, determinantlar ve onların doğal olarak nasıl oluştuğu, öz değer problemleri ve onların matris fonksiyonlarına uygulanışı vb. konulara derste değinilmektedir. Ders gerçek yaşamdan gelen uygulamaları da tanıtmaya önem veren “içerikli yaklaşımla” tasarlanmıştır. View all

Free

Линейная алгебра: от идеи к формуле

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4.0/5
Coursera Coursera

Основная особенность нашего онлайн-курса — геометрический подход к изложению. В каждом сюжете сначала мы рассказываем идею определения, пусть иногда и нестрого, а уже затем вводим формальное определение. В частности, линейные операторы, собственные векторы и числа появляются до матриц и определителей. Матрицы мы излагаем как способ записи линейного оператора. В силу этой особенности курс может быть интересен и тем, кто уже освоил стандартный вводный курс линейной алгебры. View all

Free

Линейная алгебра: матрицы и отображения

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3/5
Coursera Coursera

Линейная алгебра — это один из важнейших разделов математики. Методы линейной алгебры широко применяются не только для решения задач геометрии, математического анализа, теории динамических систем, механики сплошных сред, теории представлений, но и в машинном обучении, анализе данных, криптографии. Наш курс «Линейная алгебра: матрицы и отображения» предназначен для студентов физико-математических, технических и естественнонаучных специальностей, при этом он может быть полезен всем, кто изучает экономику, социологию и IT. Этот онлайн-курс дополняет стандартные дисциплины линейной алгебры и аналитической геометрии в вузах. Его цель — расширить ваши знания о векторных пространствах, линейных отображениях, матрицах и квадратичных формах. За время обучения вы, в частности, научитесь находить жорданову форму матрицы линейного оператора и применять её для решения прикладных задач кибернетики и математической физики. View all

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