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Overfitting in Machine Learning — why models memorize noise, not patterns. Overfitting happens when an ML model performs great on training data but fails on new data — it memorizes quirks instead of learning patterns. In this short: a visual analogy, quick signs to spot overfitting, and 2 fast fixes you can try (regularization & cross ...
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