ISO/IEC 5259-4:2024
2024-07
Resumen
This document establishes general common organizational approaches, regardless of the type, size or nature of the applying organization, to ensure data quality for training and evaluation in analytics and machine learning (ML). It includes guidance on the data quality process for:
— supervised ML with regard to the labelling of data used for training ML systems, including common organizational approaches for training data labelling;
— unsupervised ML;
— semi-supervised ML;
— reinforcement learning;
— analytics.
This document is applicable to training and evaluation data that come from different sources, including data acquisition and data composition, data preparation, data labelling, evaluation and data use. This document does not define specific services, platforms or tools.
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AI data quality management bundle
Ensure high-quality data for analytics and machine learning with our comprehensive ISO/IEC 5259 standards bundle.
- ISO 5259-1:2024
- IEC 5259-2:2024
- IEC 5259-3:2024
- IEC 5259-4:2024
- IEC 5259-5:2024
Informaciones generales
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Estado: PublicadoFecha de publicación: 2024-07Etapa: Norma Internacional publicada [60.60]
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Edición: 1Número de páginas: 28
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Comité Técnico :ISO/IEC JTC 1/SC 42ICS :35.020
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