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Companion webpage to the book "Mathematics For Machine Learning"
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Error on p.127, Section 4.5.3 (Eigendecomposition vs. SVD) #685

Open vnrajapakse opened 3 years ago

vnrajapakse commented 3 years ago

The last bullet point reads:

For symmetric matrices A \in \mathbb{R}^{n x n}, the eigenvalue decomposition and the SVD are one and the same, which follows from the spectral theorem 4.15.

This should read "For symmetric positive definite matrices ... "