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When addressing a linear regression problem with an exceptionally large dataset in Spark ML, which method is most effectively utilized? Select the single best answer.
A
Matrix decomposition
B
Least square method
C
Gradient descent
D
Brute Force Algorithm
E
Singular value decomposition
