Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
After decades of frustration, machine-learning tools are unlocking a treasure trove of acoustic data for ecologists. A small songbird soars above Ithaca, New York, on a September night. He is one of 4 ...
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