Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 3: Data qualit...
This document specifies requirements and provides guidance for establishing, implementing, maintaining and continually improving the quality of data used in the areas of analytics and machine learning.
This document does not define a detailed process, methods or metrics. Rather it defines the requirements and guidance for a quality management process along with a reference process and methods…
Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 1: Overview, t...
This document provides the means for understanding and associating the individual documents of the ISO/IEC 5259 series and is the foundation for conceptual understanding of data quality for analytics and machine learning. It also discusses associated technologies and examples (e.g. use cases and usage scenarios).
This document specifies general requirements and test methods for metallic dental tweezers of Meriam type and College type.
This document is not applicable to anatomical tweezers and surgical tweezers.
Indoor air — Part 33: Determination of phthalates with gas chromatography/mass spectrometry (GC/MS)
This document specifies the sampling and analysis of phthalates in indoor air and describes the sampling and analysis of phthalates in house dust and in solvent wipe samples of surfaces by means of gas chromatography-mass spectrometry (GC-MS).
Two alternative sampling, sample preparation and sample introduction methods, whose comparability has been proven in an interlaboratory test, are specified…
Small craft — Protection from falling overboard and means of reboarding
This document specifies the design as well as the construction and strength requirements for safety devices and arrangements intended to minimize the risk of persons falling overboard, and requirements to facilitate reboarding from the water, unaided, on small craft.
This document is applicable to the risk of falling overboard and does not apply to falling within the limits of the deck zone.
This…
Raccords de petite taille pour liquides et gaz utilisés dans le domaine de la santé — Partie 2: Racc...
Le présent document spécifie la conception et les dimensions de deux raccords de petite taille destinés à être utilisés pour des raccordements de dispositifs médicaux et d'accessoires dans le cadre d'applications respiratoires. Le premier raccord (R1) est destiné à être utilisé sur des dispositifs médicaux et des accessoires soumis à des pressions allant jusqu'à 15 kPa (par exemple…
Small-bore connectors for liquids and gases in healthcare applications — Part 2: Connectors for resp...
This document specifies the design and dimensions for two small-bore connectors intended to be used for connections in respiratory applications of medical devices and accessories. One connector (R1) is intended for use on medical devices and accessories subjected to pressures up to 15 kPa (e.g. a breathing system). The other connector (R2) is intended for use on medical devices and accessories…
Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 3: Data qualit...
This document specifies requirements and provides guidance for establishing, implementing, maintaining and continually improving the quality of data used in the areas of analytics and machine learning.
This document does not define a detailed process, methods or metrics. Rather it defines the requirements and guidance for a quality management process along with a reference process and methods…
Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 1: Overview, t...
This document provides the means for understanding and associating the individual documents of the ISO/IEC 5259 series and is the foundation for conceptual understanding of data quality for analytics and machine learning. It also discusses associated technologies and examples (e.g. use cases and usage scenarios).
