Coursera Linear Algebra Courses List

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

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

Learn the basics of Fundamental Linear Algebra Concepts with PythonView all

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

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

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

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

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

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

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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

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