+Model training is the essential process where a [Machine Learning](/wiki/machine_learning) model learns from data. Through iterative adjustments, its internal parameters are tuned to minimize error, often guided by a [Loss Function](/wiki/loss_function). This continuous refinement hones the model's ability to make accurate predictions.
+## See also
+- [Data Set](/wiki/data_set)
+- [Neural Network](/wiki/neural_network)
+- [Overfitting](/wiki/overfitting)
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