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      <p>An open source ML system for the end-to-end data science lifecycle</p>
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      <a class="button button-primary" href="download.html">Download SystemDS</a>
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      <h3>SystemML is now SystemDS</h3>
      <p>To reflect the change of focus to the end-to-end data science lifecycle
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      <h2><bdi>What is SystemDS?</bdi></h2>
      <p>SystemDS is an open source ML system for the end-to-end data science lifecycle from
        data integration, cleaning, and feature engineering, over efficient, local and distributed
        ML model training, to deployment and serving. To this end, it provides a stack of declarative
        languages with R-like syntax for (1) the different tasks of the data-science lifecycle, and
        (2) users with different expertise. These high-level scripts are compiled into hybrid execution
        plans of local, in-memory CPU and GPU operations, as well as distributed operations on Apache Spark
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      <h3>VLDB 2016 Best Paper</h3>
      <p>Read Compressed Linear Algebra for Large-Scale Machine Learning.<a
          href="http://www.vldb.org/pvldb/vol9/p960-elgohary.pdf" target="_blank"> Download Paper</a></p>
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        Check out <a href="community.html#mailing-list">All Mailing Lists</a>.
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