Câu 41: Databricks Certified Machine Learning Associate

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?

1. A. Logistic regression
2. B. Spark ML cannot distribute linear regression training
3. C. Iterative optimization — đáp án hiện tại
4. D. Least-squares method
5. E. Singular value decomposition