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Overfitting occurs when a model learns noise instead of patterns and performs poorly on new data. This is one of the most important concepts covered in AI Training Courses, especially when dealing with real-world datasets.
Ways to prevent it:
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Use regularization (L1/L2)
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Implement dropout
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Use cross-validation
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Gather more data
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Apply early stopping
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Reduce model complexity
This topic was modified 6 months ago 3 times by Amanda Kane
Topic starter
Posted : 15/11/2025 4:52 am