The regularization parameter (λ) is a crucial concept in machine learning and statistical modeling, particularly when dealing with complex systems like those found in nanotechnology. It is used to prevent overfitting by adding a penalty to the model's complexity, thereby enhancing the model's ability to generalize to new data.
