Files
详细记录
符号[E/]ECE/CES/STAT/2021/6
标题Machine learning for official statistics
获取English: ECECESSTAT20216 - PDF ;
摘要
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.
作者UN. ECE
日期Geneva : UN, 2021
描述
viii, 99 p. : graphs, tables
备注
Includes bibliographical references (p. 97-99).
国际标准图书编号/国际标准期刊编号
9789210011143
0069-8458
0069-8458