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| <h1>{{ site.data.project.name }}</h1> |
| <p>A machine learning platform optimal for big data</p> |
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| <h3>Name change from SystemML to SystemDS</h3> |
| <p>To reflect the change of focus to the wider Data Science Lifecycle |
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| <h2><bdi>What is SystemDS?</bdi></h2> |
| <p>Apache SystemDS provides an optimal workplace for machine learning using big data. |
| It can be run on top of Apache Spark or standalone, where it automatically scales your data, line by line, |
| determining whether your code should be run on the driver or an Apache Spark cluster. |
| SystemDS include additional deep learning with GPU capabilities such as importing and |
| running neural network architectures and pre-trained models for training.</p> |
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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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