An inner product space is a vector space equipped with an inner product, which is a mathematical operation that takes two vectors and returns a scalar, providing a notion of angle and length. This concept is crucial for understanding geometric interpretations of vector spaces, as it allows for the definition of orthogonality, norms, and projections. Inner product spaces are essential in various applications, including quantum mechanics and machine learning.
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