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Le et al., 2023 - Google Patents

Veml: An end-to-end machine learning lifecycle for large-scale and high-dimensional data

Le et al., 2023

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Document ID
7285550570335601840
Author
Le V
Bui C
Li W
Publication year
Publication venue
arXiv preprint arXiv:2304.13037

External Links

Snippet

An end-to-end machine learning (ML) lifecycle consists of many iterative processes, from data preparation and ML model design to model training and then deploying the trained model for inference. When building an end-to-end lifecycle for an ML problem, many ML …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30533—Other types of queries
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