Recorded: May 25, 2016

Apache SystemML project leader Luciano Resende explains Apache SystemML and Declarative Machine Learning (DML). Apache SystemML includes linear algebra primitives, statistical functions, and ML-specific constructs that make it easier and more natural to express ML algorithms, making data scientists more productive and freeing data from the underlying input formats and physical representations. Apache SystemML also provides automatic optimization to ensure efficiency and scalability, and runs in MapReduce or Spark environments.

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