Advanced Regularization Techniques: Beyond L1 and L2 in ML
In this continuation of our series on regularization in machine learning, we shift our focus towards advanced regularization techniques. Building upon the foundations laid by L1 and L2 methods, this article introduces more sophisticated strategies like Elastic Net and Dropout. These advanced techniques offer nuanced ways to tackle overfitting and enhance model performance, providing practical … Read more