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- W4387492768 abstract "The predominant paradigm for AI development over the last few decades has been a model- or software-centric approach, in which building a machine learning system requires writing code to implement algorithms, models, as well as taking that code and training it on data. In the last few years, there has been tremendous progress in neural networks and other algorithms, and the code is essentially a good open source issue that you can download from GitHub today for numerous applications." @default.
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- W4387492768 date "2023-01-01" @default.
- W4387492768 modified "2023-10-12" @default.
- W4387492768 title "Data-Centric AI in Healthcare" @default.
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- W4387492768 doi "https://doi.org/10.1007/978-981-99-6353-9_6" @default.
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