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CSA ISO/IEC 5259-4:25

Current Revision

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework (Adopted ISO/IEC 5259-4:2024, first edition, 2024-07)

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Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework (Adopted ISO/IEC 5259-4:2024, first edition, 2024-07)

Scope

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 CSA: Canadian Standards Association
Document Number
Publication Date Jan. 1, 2025
Language en - English
Page Count 46
Revision Level
Supercedes
Committee
Publish Date Document Id Type View
Jan. 1, 2025 CSA ISO/IEC 5259-4:25 Revision