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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 other than what they were trained on, raising questions about the need to ...
Few people are as knee-deep in our work-related anxieties and sticky office politics as Alison Green, who has been fielding ...
How chunked arrays turned a frozen machine into a finished climate model ...
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