Linear Algebra for Machine Learning (Part 1 of 4)
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Overview
The target audience of this blog series are those interested in Machine Learning, but has little or weak understanding on linear algebra. This blog series will cover the basics in linear algebra, spanning over (1) Basics of Vectors and Matrices and Operating with Them, (2) Determinants and Inverse, (3) Eigenvalues and Eigenvectors, (4) Singular Value Decomposition. Feel free to skip over sections you are confident in.