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Webimportant problem that machine learning can help to overcome is missing data. Using simulations, we show that out-of-sample predictions of missing values with machine learning algorithms can help to close data gaps in a wide range of datasets. Keywords: Data Quality Management, Measurement Errors, Data Gaps, Machine Learning, Supervised Learning WebNov 14, 2024 · The Circulate Initiative and The Alliance to End Plastic Waste are calling for applications for the Closing the Data Gap Challenge — an initiative to support decision makers and other stakeholders with better quality data that will help prevent plastic pollution and advance a more inclusive, circular economy. A challenge to the research community WebFeb 10, 2024 · In Southampton, males living in the most deprived areas of the city on average live 6.6 years less than those living in the least deprived areas and females 3.1 … the good guys warrnambool