efficiency effects of a form of affirmative action used by governments: set-aside programs. Employing a machine learning …

Beschäftigten fordern. Das Ergebnis basiert auf einem Machine-Learning-Modell, das mehr als 18 Millionen Stellenanzeigen … require data skills from their new employees in every fifth job advertisement. The result is based on a machine learning model …

-the German "PISA shock". I combine machine-learning and text analysis techniques to obtain topic-specific measures of …

contribute to allow them to face challenges, crises, or disasters. The rise of promising sectors like Machine learning (ML) and … analysis to find patterns and create prediction models. Through Machine Learning, the following research introduces the use of …

.To assist our partner hospital and other EDs, we develop a machine learning model trained on large-scale data capable of … unit. We find that the optimal protocol depends not only on the predicted risk scores but also on the machine learning …

). Artificial Intelligence, and machine learning techniques in particular, may be applied to improve the efficient targeting of …, we develop an innovative machine learning framework for accurate prediction and fair targeting of energy poor households … across all the current members of the European Union and the United Kingdom. While we explore various machine learning …