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[PDF] Machine Learning Methods and “Real-Time” Economics - CEUR-WS
ceur-ws.org › Vol-1614 › paper_121
Jun 24, 2016 · This technique is increasingly being used in the design of information systems of economic destination. In the paper the synthesis problem for ...
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Abstract. In the paper some machine-learning method for synthesis an on-fly event acceptor is proposed. Such an acceptor has become necessary for the technique ...
Feb 9, 2024 · ML and AI can automate decision-making processes based on real-time data analysis. This saves time and resources and enables instant action when needed.
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We aim to showcase the benefits of using ML in economics research and policy analysis and offer suggestions on where, when and how to effectively apply ML ...
Duration: 33:20
Posted: Aug 3, 2021
Posted: Aug 3, 2021
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Jul 4, 2024 · This paper aims to explore the application of machine learning in forecasting Chinese macroeconomic variables.
Sansone (OBES, 2018) uses ML to predict high school dropout. He uses economic theory to guide the calibration of the ML algorithms.
Jul 4, 2024 · We study the effectiveness of machine learning in generating weekly inflation nowcasts for the Brazilian economy, using high-frequency macrofinancial data.
Machine learning is increasingly being utilized in economic research. Here, we discuss three main ways that economists are currently using machine learning ...
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Jun 28, 2024 · The integration of artificial intelligence into economic forecasting is revolutionising the way we predict and understand economic trends.