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분야 | ISO/IEC JTC 1/SC 42 : Artificial intelligence |
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적용범위 | 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. |
국제분류(ICS)코드 | 35.020 : 정보기술 일반 |
페이지수 | 28 |
Edition | 1 |
No. | 표준번호 | 표준명 | 발행일 | 상태 |
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1 | ISO/IEC 5259-4:2024 | Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework | 2024-07-15 | 표준 |
2 | ISO/IEC 5259-4:2024 | Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 4: Data quality process framework | 2024-07-15 | 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 5259-3:2024 - 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 5259-2:2024 - Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 2: Data quality measures 상세보기
ISO/IEC 5338:2023 - Information technology — Artificial intelligence — AI system life cycle processes 상세보기
ISO/IEC TS 4213:2022 - Information technology - Artificial intelligence - Assessment of machine learning classification performance 상세보기
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