Apache SystemML is an open-source machine learning framework designed to provide scalable, flexible, and efficient machine learning on big data. Targeted at data scientists and machine learning engineers, it enables the development and execution of machine learning algorithms in a distributed environment, such as Apache Spark or standalone clusters, using high-level declarative scripts. SystemML supports advanced analytics and data science workflows for large and complex datasets.
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