Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

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Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

Coursera · Advanced ·📐 ML Fundamentals ·1h ago
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 manipulate matrices algebraically. This will allow us to better analyze and solve systems of linear equations. Furthermore, the definitions and theorems presented in the course allow use to identify the properties of an invertible matrix, identify relevant subspaces in R^n, We then focus on the geometry of the matrix transformation by studying …
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