{"id":415392,"date":"2024-10-20T06:04:55","date_gmt":"2024-10-20T06:04:55","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/bs-iso-iec-230532022\/"},"modified":"2024-10-26T11:18:29","modified_gmt":"2024-10-26T11:18:29","slug":"bs-iso-iec-230532022","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/bsi\/bs-iso-iec-230532022\/","title":{"rendered":"BS ISO\/IEC 23053:2022"},"content":{"rendered":"

PDF Catalog<\/h4>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
PDF Pages<\/th>\nPDF Title<\/th>\n<\/tr>\n
2<\/td>\nNational foreword <\/td>\n<\/tr>\n
6<\/td>\nForeword <\/td>\n<\/tr>\n
7<\/td>\nIntroduction <\/td>\n<\/tr>\n
9<\/td>\n1 Scope
2 Normative references
3 Terms and definitions
3.1 Model development and use <\/td>\n<\/tr>\n
10<\/td>\n3.2 Tools
3.3 Data <\/td>\n<\/tr>\n
11<\/td>\n4 Abbreviated terms <\/td>\n<\/tr>\n
12<\/td>\n5 Overview
6 Machine learning system
6.1 Overview <\/td>\n<\/tr>\n
13<\/td>\n6.2 Task
6.2.1 General <\/td>\n<\/tr>\n
14<\/td>\n6.2.2 Regression
6.2.3 Classification
6.2.4 Clustering
6.2.5 Anomaly detection <\/td>\n<\/tr>\n
15<\/td>\n6.2.6 Dimensionality reduction
6.2.7 Other tasks
6.3 Model <\/td>\n<\/tr>\n
16<\/td>\n6.4 Data <\/td>\n<\/tr>\n
17<\/td>\n6.5 Tools
6.5.1 General
6.5.2 Data preparation
6.5.3 Categories of ML algorithms <\/td>\n<\/tr>\n
22<\/td>\n6.5.4 ML optimisation methods <\/td>\n<\/tr>\n
23<\/td>\n6.5.5 ML evaluation metrics <\/td>\n<\/tr>\n
27<\/td>\n7 Machine learning approaches
7.1 General
7.2 Supervised machine learning <\/td>\n<\/tr>\n
29<\/td>\n7.3 Unsupervised machine learning
7.4 Semi-supervised machine learning <\/td>\n<\/tr>\n
30<\/td>\n7.5 Self-supervised machine learning
7.6 Reinforcement machine learning <\/td>\n<\/tr>\n
31<\/td>\n7.7 Transfer learning <\/td>\n<\/tr>\n
32<\/td>\n8 Machine learning pipeline
8.1 General <\/td>\n<\/tr>\n
33<\/td>\n8.2 Data acquisition
8.3 Data preparation <\/td>\n<\/tr>\n
35<\/td>\n8.4 Modelling <\/td>\n<\/tr>\n
36<\/td>\n8.5 Verification and validation
8.6 Model deployment <\/td>\n<\/tr>\n
37<\/td>\n8.7 Operation
8.8 Example machine learning process based on ML pipeline <\/td>\n<\/tr>\n
40<\/td>\nAnnex A (informative) Example data flow and data use statements for supervised learning process <\/td>\n<\/tr>\n
42<\/td>\nBibliography <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)<\/b><\/p>\n\n\n\n\n
Published By<\/td>\nPublication Date<\/td>\nNumber of Pages<\/td>\n<\/tr>\n
BSI<\/b><\/a><\/td>\n2022<\/td>\n44<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"featured_media":415402,"template":"","meta":{"rank_math_lock_modified_date":false,"ep_exclude_from_search":false},"product_cat":[2641],"product_tag":[],"class_list":{"0":"post-415392","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-bsi","8":"first","9":"instock","10":"sold-individually","11":"shipping-taxable","12":"purchasable","13":"product-type-simple"},"_links":{"self":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product\/415392","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/types\/product"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media\/415402"}],"wp:attachment":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media?parent=415392"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_cat?post=415392"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_tag?post=415392"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}