8.19 Introduction to Matrix Decomposition | LU, EVD & SVD | Linear Algebra for ML
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8.19 Introduction to Matrix Decomposition | LU, EVD & SVD | Linear Algebra for ML
In this lecture, we introduce the powerful concept of Matrix Decomposition and understand why breaking a matrix into simpler components is extremely useful. We cover the three major decompositions—Eigenvalue Decomposition (EVD), Singular Value Decomposition (SVD), and LU Decomposition—and explore their applications in Machine Learning, PCA ...
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