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BS ISO/IEC 23053:2022

BS ISO/IEC 23053:2022

$167.15

Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)

Published By Publication Date Number of Pages
BSI 2022 44
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PDF Catalog

PDF Pages PDF Title
2 National foreword
6 Foreword
7 Introduction
9 1 Scope
2 Normative references
3 Terms and definitions
3.1 Model development and use
10 3.2 Tools
3.3 Data
11 4 Abbreviated terms
12 5 Overview
6 Machine learning system
6.1 Overview
13 6.2 Task
6.2.1 General
14 6.2.2 Regression
6.2.3 Classification
6.2.4 Clustering
6.2.5 Anomaly detection
15 6.2.6 Dimensionality reduction
6.2.7 Other tasks
6.3 Model
16 6.4 Data
17 6.5 Tools
6.5.1 General
6.5.2 Data preparation
6.5.3 Categories of ML algorithms
22 6.5.4 ML optimisation methods
23 6.5.5 ML evaluation metrics
27 7 Machine learning approaches
7.1 General
7.2 Supervised machine learning
29 7.3 Unsupervised machine learning
7.4 Semi-supervised machine learning
30 7.5 Self-supervised machine learning
7.6 Reinforcement machine learning
31 7.7 Transfer learning
32 8 Machine learning pipeline
8.1 General
33 8.2 Data acquisition
8.3 Data preparation
35 8.4 Modelling
36 8.5 Verification and validation
8.6 Model deployment
37 8.7 Operation
8.8 Example machine learning process based on ML pipeline
40 Annex A (informative) Example data flow and data use statements for supervised learning process
42 Bibliography

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BS ISO/IEC 23053:2022
$167.15