Databricks Certified Machine Learning - Associate
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In the context of Spark MLlib, explain how Spark scales linear regression for large datasets and what are the key components involved in this process.
In the context of Spark MLlib, explain how Spark scales linear regression for large datasets and what are the key components involved in this process.
Simulated
Explanation:
Spark scales linear regression by distributing the data across multiple nodes in a cluster. It parallelizes the computation of the cost function and gradient descent steps, allowing for efficient processing of large datasets. This approach enables Spark to handle much larger datasets than would be possible on a single machine, while still providing accurate and scalable linear regression models.