Machine learning with Apache SystemML
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Discover Apache SystemML, a powerful declarative language for large-scale machine learning. With optimized runtime plans for Apache Hadoop and Apache Spark, it offers R-like and Python-like syntax for efficient data analysis and ML algorithms.
At a Glance
Apache SystemML is a declarative style language designed for large-scale machine learning. It provides automatic generation of optimized runtime plans ranging from single-node, to in-memory, to distributed computations on Apache Hadoop and Apache Spark. SystemML algorithms are expressed in R-like or Python-like syntax that includes linear algebra primitives, statistical functions and ML-specific constructs.
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