How to avoid overfitting in business applications?
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Overfitting is a common issue that can seriously impact business decisions if not handled properly. Models that perform well on training data may fail in real scenarios due to lack of generalization. To prevent this, teams should use proper validation techniques and diverse datasets. Another critical factor is having reliable data pipelines. This is where data engineering services play a key role, ensuring that models are trained on consistent and high-quality data over time.
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