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Answer: Gradient descent
Gradient descent is chosen for its simplicity and effectiveness as an iterative optimization method. It efficiently minimizes the error of the linear regression model, making it suitable for large datasets in Spark ML.
Author: LeetQuiz Editorial Team
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When dealing with an extraordinarily large dataset in Spark ML for a linear regression problem, which method is employed to efficiently find the solution?
A
Matrix decomposition
B
Singular value decomposition
C
Gradient descent
D
Least square method
E
Brute Force Algorithm
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