sites from 4 wetlands types: bog, fen, marsh, and wet tundra) to construct a causality-enabled machine learning modeling …

(PMI), to improve the short-term forecast of international trade. A horse race between linear regressions and machine-learning … machine-learning algorithms, confirming the linear relationship between trade and its financing through letters of credit …

). 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 …

In this work, we apply cutting edge machine learning algorithms to one of the oldest challenges in finance: Predicting … supervised learning classification algorithms, readily available from Python's Scikit-Learn, we employ three powerful techniques … contributions. We conclude, therefore, that ETFs can be predicted with machine learning algorithms but practitioners should …

. Secondly, the development framework is applied in a proof of concept where an innovative machine learning-based approach is …