MLlib is Apache Spark's scalable machine learning library. It aims to make practical machine learning scalable and easy. It provides a wide range of machine learning algorithms, including classification, regression, clustering, collaborative filtering, dimensionality reduction, and optimization. MLlib is commonly used for tasks like building recommendation systems, detecting fraud, and predicting customer churn. It integrates well with other Spark components for data processing and analysis.
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