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Why are vectors and norms used in machine learning?
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Answer / Mushahid
Vectors and norms are fundamental tools in Machine Learning for representing data, computing distances between data points, and understanding the geometry of data. Vectors allow us to represent each data point as a list of values, and norms (e.g., Euclidean distance) help measure the dissimilarity between vectors.
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