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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 ...
Rugby is speed, momentum, and brute strength. But with every bone-rattling tackle and a pass shaped in geometric precision comes a layer of information begging to be exposed. Nowadays, with the advent ...
Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.
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