Project
Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 1: Overview, terminology, and examples
Abstract
This document provides the means for understanding and associating the individual documents of the ISO/IEC “Artificial intelligence - Data quality for analytics and ML” 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
Begin
2024-10-10
WI
JT021040
Planned document number
DIN EN ISO/IEC 5259-1
Project number
04301165
Responsible national committee
Responsible european committee
CEN/CLC/JTC 21/WG 3 - Engineering aspects
