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Question 33/35
The implementation of linear regression in Spark ML first attempts to solve the linear regression problem using matrix decomposition, but this method does not scale well to large datasets with a large number of variables.
Which of the following approaches does Spark ML use to distribute the training of a linear regression model for large data?
Which of the following approaches does Spark ML use to distribute the training of a linear regression model for large data?
