Understanding Eigenvectors and Eigenvalues
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Understanding Eigenvectors and Eigenvalues
Get a quick and clear understanding of Eigenvectors and Eigenvalues, and discover how they're used in machine learning! #Eigenvectors #Eigenvalues #DataScience
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Peter Math on Instagram: "Eigenvalue Decomposition is a foundational concept in linear algebra that reveals the internal structure of square matrices. It works by breaking a matrix into its eigenvalues (which scale vectors) and eigenvectors (which define directions that remain unchanged by the matrix transformation). In essence, it tells us how a transformation stretches or compresses space along specific directions—making it a key tool for understanding complex systems. This decomposition is de
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