2021年1月13日 · To achieve this goal the Machine Learning (ML) project team will aim to: Investigate and demonstrate the value added by ML in the production of official statistics, …

2022年3月3日 · A UNECE guide, Machine Learning for Official Statistics, released today, will help national and international statistical organizations to harness the power of machine learning …

Economic Commission for Europe - UNECE). The project and report are led by Vytas Vaiciulis and Olivier Sirello, with the secretariat ... model operations, often referred to as ML-Ops or …

Designing a Machine Learning (ML) course for Official statistics (OS) is not an easy task as the question on training remains mostly unaddressed in the literature that focuses on the benefits …

We assessed the use cases to extract key themes and identify areas where there were blockers to the implementation of machine learning for editing. We utilised the use cases to craft brief …

development and identify and addressing challenges in integrating ML solutions in production processes. Reports, documents, code, data and numerous references were released on the …

Machine Learning (ML) holds great potential for the production of official statistics. It can increase efficiency by automating certain tasks or by assisting manual processes. It also allows …

Open datasets from Machine Learning Project. Description: Excel sheet of the names of 17,099 products that were web scraped and anonymized from three online shops. The products were …

Building on the Quality Framework for Statistical Algorithms (QF4SA), German official statistics has thought about a quality concept for the use of machine learning (ML). The main question …

The ONS-UNECE Machine Learning Group 2022 (ML 2022) is an initiative targeted at the official statistics community, providing a platform for the global statistical community to develop …