Databricks Certified Machine Learning - Associate
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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?
When dealing with an extraordinarily large dataset in Spark ML for a linear regression problem, which method is employed to efficiently find the solution?
Real Exam
A
Matrix decomposition
6.7%
B
Singular value decomposition
6.7%
C
Gradient descent
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