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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
