This repository contains exercises and notes from the DeepLearning.AI course on Linear Algebra for ML and Data Science. It covers vectors, matrices, transformations, eigenvalues, and applications in ...
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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 ...
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Among other things, the course includes elementary linear algebra, the solution of equation systems, the theory of functions of several variables, including both unconstrained and constrained ...
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