Question) When the following code is executed, all data of the MNIST numeric image is converted into vectors to create a single NumPy matrix X Use this matrix to solve the following problem from sklearn datasets import load digits X load digits() data Find the similarity between the first image and the tenth image using dot product Find the similarity for a combination of all images using the dot product, how would it be efficient to implement it (hint using matrices and multiplication of matrices)

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Question: Question) When the following code is executed, all data of the MNIST numeric image is converted into vectors to create a single NumPy matrix X.

Question) When the following code is executed, all data of the MNIST numeric image is converted into vectors to create a single NumPy matrix X. Use this matrix to solve the following problem.

from sklearn.datasets import load_digits X=load_digits().data

Find the similarity between the first image and the tenth image using dot product.

Find the similarity for a combination of all images using the dot product, how would it be efficient to implement it (hint: using matrices and multiplication of matrices)

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