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ISO/IEC 5259-4:2024

Current Revision

Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 4: Data quality process framework

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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.


SDO ISO: International Organization for Standardization
Document Number ISO/IEC 5259
Publication Date Not Available
Language en - English
Page Count
Revision Level
Supercedes
Committee ISO/IEC JTC 1/SC 42
Publish Date Document Id Type View
Not Available ISO/IEC 5259-4:2024 Revision