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Two numpy arrays are defined as follows: array_1 = np.array([[1, 2, 7], [3, 4, 8]]) array_2 = np.array([[1, 2], [3, 9], [4, 16]]) What would np.dot(array_1, array_2) return? Two numpy arrays are defined as follows: ```python array_1 = np.array([[1, 2, 7], [3, 4, 8]]) array_2 = np.array([[1, 2], [3, 9], [4, 16]]) ``` What would `np.dot(array_1, array_2)` return?

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The dot product of two matrices, involves Multiplying the row of one matrix by the column of the other. The result of dot product of the two Numpy arrays is ;

  • array([[35, 132], [47, 170]])

The Numpy module is a library in python which is used for speedy numerical computation by reading data on vector - like format.

The code in python can be reproduced thus :

import numpy as np

#import the Numpy module and alias it as np

array_1 = np.array([[1, 2, 7], [3, 4, 8]])

#imput the values of the first array

array_2 = np.array([[1, 2], [3, 9], [4, 16]])

#imput the values of the second array

result = np.dot(array_1, array_2)

#attach the dot method, attach the dot product of both arrays to result.

result

#displays the result of the dot product

Therefore, the dot product of array_1 and array_2 in the question given above is array([[35, 132], [47, 170]])

Learn more :https://brainly.com/question/12907977

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