In machine learning, the pursuit of models that generalise well to unseen (new) data is paramount. However, achieving this balance between complexity and generalisation can be challenging. Regularisation techniques offer a solution by imposing constraints on model parameters during training, effectively mitigating overfitting and enhancing the model’s ability to generalise. So what is regularization? Regularization […]
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