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- W4293161801 abstract "ML systems draw upon ideas from a variety of computing fields beyond just ML algorithmic re-search, including data management, operating and distributed systems, high-performance computing, programming languages, and more. Motivated by (1) data-driven applications, (2) data-intensive workload characteristics, and (3) data systems support for ML, we took a data-centric view and reviewed approaches for integrating ML in data systems as well as data management techniques in ML systems. In the following, we draw several conclusions regarding the existing state of the art, as well as major open problems and directions for future work." @default.
- W4293161801 created "2022-08-27" @default.
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- W4293161801 date "2019-01-01" @default.
- W4293161801 modified "2023-10-15" @default.
- W4293161801 title "Conclusions" @default.
- W4293161801 doi "https://doi.org/10.1007/978-3-031-01869-5_9" @default.
- W4293161801 hasPublicationYear "2019" @default.
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