Machine Learning, Artificial Intelligence, Deep Learning, Data Science, Mathematics.
most significant differences between L1 and L2 regularization lies in their impact on model sparsity. Sparsity refers to the number of feature coefficients that are reduced to zero, effectively removing them from the model. L1 regularization, with its absolute value penalty term, inherently