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API MPMS CH 10.8, 3rd Edition: Standard Test Method for Sediment in Crude Oil by Membrane Filtration

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ISO/TR 42505:2026 Sharing economy — Shared manufacturing — Concepts and models

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ISO 4306-1:2026 Cranes — Vocabulary — Part 1: General

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ISO 5259:2024

ISO 5259:2024 Artificial intelligence – Data quality for analytics and machine learning (ML) – Part 3: Data quality management requirements and guidelines

CDN $310.00

Description

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 that can be tailored to meet the requirements in this document.

The requirements and recommendations set out in this document are generic and are intended to be applicable to all organizations, regardless of type, size or nature.

Edition

1

Published Date

2024-07-02

Status

PUBLISHED

Pages

28

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

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 that can be tailored to meet the requirements in this document.

The requirements and recommendations set out in this document are generic and are intended to be applicable to all organizations, regardless of type, size or nature.

Previous Editions

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