Corpus ID: 8878263

Machine Learning and Cloud Computing: Survey of Distributed and SaaS Solutions

@article{Pop2016MachineLA,
  title={Machine Learning and Cloud Computing: Survey of Distributed and SaaS Solutions},
  author={Daniel Pop},
  journal={ArXiv},
  year={2016},
  volume={abs/1603.08767}
}
Applying popular machine learning algorithms to large amounts of data raised new challenges for the ML practitioners. [...] Key Method First direction is of popular statistics tools and libraries (R system, Python) deployed in the cloud. A second line of products is augmenting existing tools with plugins that allow users to create a Hadoop cluster in the cloud and run jobs on it. Next on the list are libraries of distributed implementations for ML algorithms, and on-premise deployments of complex systems for…Expand
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