Machine Learning, Artificial Intelligence, Deep Learning, Data Science, Mathematics.
patterns but also the noise and anomalies specific to that dataset. While such a model performs exceedingly well on the training data, its ability to generalize to new, unseen data is significantly compromised. This is where regularization steps in, serving as a counterbalance to overfitting,