Regularization is a crucial technique in Machine Learning to address overfitting, with 𝗟𝟭 (𝗟𝗮𝘀𝘀𝗼) and 𝗟𝟮 (𝗥𝗶𝗱𝗴𝗲) being the most widely used methods.