Undergraduate mathematics textbooks are not what they used to be, and Gilbert Strang's superb new edition of Introduction to Linear Algebra is an example of everything that a modern textbook could ...

Matrix algebra and Gaussian elimination. The geometry of vectors in R2, R3 and Rn. Vector spaces and linear transformation. Introduction to orthogonal geometry and eigenvalue problems. Meets the ...

This course provides an introduction to linear algebra topics. Emphasis is placed on the development of abstract concepts and applications for vectors, systems of equations, matrices, determinants, ...

This course gives a thorough introduction to linear algebra with emphasis on vector spaces, linear maps, spectral theory, orthogonality and applications of this theory. MATLAB is used for ...

This title is available on our Higher Education website. Linear Algebra offers a unified treatment of both matrix-oriented and theoretical approaches to the course, which will be useful for classes ...

This course has been designed for those who are doing intensive data research. It caters to a broad audience of data scientists. There are two parts of this course. The first part comprises five ...

Linear Algebra (Harvard University) A comprehensive introduction to linear algebra, focusing on vector spaces, matrices, determinants, eigenvalues, and applications in data science and engineering.

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It will also be counted as one of the three attempts to sit the exam for this course, if you sit the exam for one of the following courses: STK4100 – Introduction to Generalized Linear Models Grades ...

Link to the book on amazon: https://www.amazon.com/Practical-Linear-Algebra-Data-Science/dp/1098120612/ E-version viewable for O'Reilly members: https://www.oreilly ...