Uncertainty Estimation in ML | What “Uncertainty” Really Means in AI
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Uncertainty Estimation in ML | What “Uncertainty” Really Means in AI
Machine learning models make predictions, but real-world systems also need to know how unsure the model is. That is the purpose of uncertainty estimation: measuring a model’s uncertainty so decisions can be safer, more reliable, and less overconfident—especially when the input is ambiguous, noisy, or unfamiliar. In this video, we explain ...
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