Machine Learning, Artificial Intelligence, Deep Learning, Data Science, Mathematics.
combines the properties of both L1 (Lasso) and L2 (Ridge) regularization. It is particularly useful in situations where you want to harness the advantages of both L1 and L2. The Elastic Net penalty is a linear combination of the L1 and L2 penalties and is defined as: Here, λ is the overall