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Instructions - Before your start the quiz, please read briefly 4 Types of Distance Metrics in Machine Learning G. - Understand the idea of Euclidean

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Instructions - Before your start the quiz, please read briefly 4 Types of Distance Metrics in Machine Learning G. - Understand the idea of Euclidean Distance, Manhattan Distance, Minkowski Distance, Hamming Distance - One of these distance metrics may be used in one of the questions. - You won't be asked to implement any of these metrics, but you may have to identify it. - Also, read briefly the following concepts (only their definition): - Symmetric matrix G - Triangular matrix G - Zero matrix - All-ones matrix B - One of these concepts may be used in one of the questions. - You won't be asked to implement any of these matrices, but you may have to identify it. - When you are ready, start the quiz. Question 17 Compute the following sum i=5ni+1= n2+3n n2+3n28 2n2+3n28 2n2+3n

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