Apache SystemML for Machine Learning Training Course


Apache SystemML is a distributed and declarative machine learning platform.

SystemML provides declarative large-scale machine learning (ML) that aims at flexible specification of ML algorithms and automatic generation of hybrid runtime plans ranging from single node, in-memory computations, to distributed computations on Apache Hadoop and Apache Spark.


This course is suitable for Machine Learning researchers, developers and engineers seeking to utilize SystemML as a framework for machine learning.


  • R
  • Python

Course Outline

Running SystemML

  • Standalone
  • Spark MLContext
  • Spark Batch
  • Hadoop Batch
  • JMLC


  • Debugger
  • IDE
  • Troubleshooting

Languages and ML Algorithms

  • DML
  • PyDML
  • Algorithms

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