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.

viii, 99 p. : graphs, tables

Includes bibliographical references (p. 97-99).

9789210011143
0069-8458