Files
تفصيلات التسجيلة (السجل)
رمز / رقم الاستدعاء[E/]ECE/CES/STAT/2021/6
العنوانMachine learning for official statistics
إمكانية الوصولEnglish: ECECESSTAT20216 - PDF ;
ملخص
This publication presents the practical applications of machine learning in three working areas within statistical organisations and discusses their value added, challenges and lessons learned. It also includes a quality framework that could help guiding the choice of methods, challenges that arise when integrating machine learning into statistical production, and key steps for moving machine learning from the experimental stage to the production stage and concludes with key messages on advancing the use of machine learning for the production of official statistics.
1. Background -- 2. Machine learning -- 3. Machine learning application areas -- 4. A Quality Framework for Statistical Algorithms -- 5. Journey from Machine Learning Experiment to Production -- 6. Key Messages and Conclusion.
1. Background -- 2. Machine learning -- 3. Machine learning application areas -- 4. A Quality Framework for Statistical Algorithms -- 5. Journey from Machine Learning Experiment to Production -- 6. Key Messages and Conclusion.
المؤلفونUN. ECE
تاريخGeneva : UN, 2021
الوصف
viii, 99 p. : graphs, tables
ملاحظات
Includes bibliographical references (p. 97-99).
رقم دولي معياري للكتاب (ردمك)
9789210011143
0069-8458
0069-8458