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Apache SystemDS (Previously, Apache SystemML) is an open source ML system for the end-to-end data science lifecycle. SystemDS's distinguishing characteristics are: 1. * Algorithm customizability via R-like and Python-like languages. 2. * Multiple execution modes, including Standalone, Spark Batch, Spark MLContext, Hadoop Batch, and JMLC. 3. * Automatic optimization based on data and cluster characteristics to ensure both efficiency and scalability.

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  • Apache SystemDS (Previously, Apache SystemML) is an open source ML system for the end-to-end data science lifecycle. SystemDS's distinguishing characteristics are: 1. * Algorithm customizability via R-like and Python-like languages. 2. * Multiple execution modes, including Standalone, Spark Batch, Spark MLContext, Hadoop Batch, and JMLC. 3. * Automatic optimization based on data and cluster characteristics to ensure both efficiency and scalability. (en)
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  • 2022-07-05 (xsd:date)
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  • 3.0.0
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  • 2015-11-02 (xsd:date)
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  • Apache SystemDS (en)
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  • Apache SystemDS (Previously, Apache SystemML) is an open source ML system for the end-to-end data science lifecycle. SystemDS's distinguishing characteristics are: 1. * Algorithm customizability via R-like and Python-like languages. 2. * Multiple execution modes, including Standalone, Spark Batch, Spark MLContext, Hadoop Batch, and JMLC. 3. * Automatic optimization based on data and cluster characteristics to ensure both efficiency and scalability. (en)
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  • Apache SystemDS (en)
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  • Apache SystemDS (en)
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