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Overfitting: The Hidden Problem in ML Models #ai #machinelearning #datascience #learnai #aiexplained
Overfitting happens when a machine learning model learns too much from its training data — memorizing patterns, noise, and even random errors that don’t apply to real-world data. It’s like a student who memorizes every example from a textbook but struggles with new questions. Technically, this means the model has high variance ...
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