What are Orthonormal Vectors? How are they used in Machine Learning?
Why it matters: Orthonormal vectors are a set of vectors that are both orthogonal (perpendicular) to each other and have a unit length (norm) of 1.
Why it matters: Orthonormal vectors are a set of vectors that are both orthogonal (perpendicular) to each other and have a unit length (norm) of 1.
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