Machine learning with Apache SystemML
Discover Apache SystemML, a powerful declarative language for large-scale machine learning. Benefit from optimized runtime plans and distributed computations on Apache Hadoop and Spark. Express algorithms in R-like or Python-like syntax with linear algebra primitives and statistical functions.
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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