What is regularization in machine learning? Regularization in machine learning is a set of techniques used to ensure that a machine learning model can generalize to new data within the same data set.

When struggling with overfitting in machine learning, one is often tempted to increase the regularization parameter λ.

When you hear "let's split the data into training, validation, and test sets," it might feel like a preliminary step in ...