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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 ...
Machine learning (ML) is a rapidly evolving discipline that enables computers to acquire knowledge from data without being explicitly programmed. By leveraging algorithms capable of recognising ...
BearID uses deep learning, a subset of machine learning that makes use of artificial neural networks, to analyze images and ...
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