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분야 | ISO/IEC JTC 1/SC 42 : Artificial Intelligence |
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적용범위 | This document specifies a data quality model, data quality measures and guidance on reporting data quality in the context of analytics and machine learning (ML). This document is applicable to all types of organizations who want to achieve their data quality objectives. |
국제분류(ICS)코드 | 35.020 : 정보기술 일반 |
페이지수 | 38 |
Edition | 1.0 |
No. | 표준번호 | 표준명 | 발행일 | 상태 |
---|---|---|---|---|
1 | ISO/IEC 5259-2:2024 | Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 2: Data quality measures | 2024-11-05 | 표준 |
2 | ISO/IEC 5259-2:2024 | Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 2: Data quality measures | 2024-11-05 | 표준 |
ISO/IEC FDIS 5259-5 - Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 5: Data quality governance framework 상세보기
ISO/IEC 5259-3:2024 - Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 3: Data quality management requirements and guidelines 상세보기
ISO/IEC 5259-1:2024 - Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 1: Overview, terminology, and examples 상세보기
ISO/IEC 5259-1:2024 - Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 1: Overview, terminology, and examples 상세보기
ISO/IEC 5259-3:2024 - Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 3: Data quality management requirements and guidelines 상세보기
ISO/IEC 5259-4:2024 - Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework 상세보기
ISO/IEC 5259-3:2024 - Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 3: Data quality management requirements and guidelines 상세보기
ISO/IEC 5259-1:2024 - Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 1: Overview, terminology, and examples 상세보기
ISO/IEC 24029-2:2023 - Artificial intelligence (AI) - Assessment of the robustness of neural networks - Part 2: Methodology for the use of formal methods 상세보기
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