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API Technical Report TDB-6 Chapter 6 – Density

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204

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API STD 560: Fired Heaters for General Refinery Services

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API STD 64: Diverter Equipment Systems

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324

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API MPMS CH 17.10.1: Refrigerated Light Hydrocarbon Fluids – Measurement of Cargoes on Board LNG Carries

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417

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API RP 13B-1: Testing Water-based Drilling Fluids

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API Technical Report TDB-12 Chapter 12 – Thermal Conductivity

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214

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API 16FI Frac Iron Guidelines and Requirements

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ISO 12791:2024

ISO 12791:2024 Information technology – Artificial intelligence – Treatment of unwanted bias in classification and regression machine learning tasks

CDN $233.00

Description

This document describes how to address unwanted bias in AI systems that use machine learning to conduct classification and regression tasks. This document provides mitigation techniques that can be applied throughout the AI system life cycle in order to treat unwanted bias. This document is applicable to all types and sizes of organization.

Edition

1

Published Date

2024-10-31

Status

PUBLISHED

Pages

24

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

This document describes how to address unwanted bias in AI systems that use machine learning to conduct classification and regression tasks. This document provides mitigation techniques that can be applied throughout the AI system life cycle in order to treat unwanted bias. This document is applicable to all types and sizes of organization.

Previous Editions

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