PITTSBURGH, Oct. 18, 2024 — Software systems with a machine learning (ML) component often fail in production. One reason is that ML models are frequently developed in isolation, making it impossible ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
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 ...
Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
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