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A matrix’s eigenvectors — “own vectors” in German — are those vectors that stay aligned in the same direction when the matrix is applied. Take, for example, the matrix that rotates things by 90 ...
But vectors now give us the opportunity to track more individualized data to feed into the AI and ML pipelines. Each user’s behavior is tracked in a fine-grained manner, including over periods ...