+Hyperparameters are external configurations chosen before a [Machine Learning](/wiki/Machine_Learning) model begins its learning process. They guide how the model learns or its internal structure, distinct from [Model Parameters](/wiki/Model_Parameters) which are learned from data. Their careful selection is crucial for a model's effectiveness.
+## See also
+- [Neural Networks](/wiki/Neural_Networks)
+- [Optimization](/wiki/Optimization)
+- [Algorithm](/wiki/Algorithm)
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