Regularization in Machine Learning
What is Regularization in Machine Learning? Regularization is an essential technique in machine learning used to prevent overfitting of the model. Overfitting happens when a model fits too well to the training data, including the noise or random fluctuations in the data, and performs poorly on new, unseen data. Regularization is used to overcome this …