Shrink to Win: Regularization’s Role in Model Success

Overfitting? Shrink your model! Regularization prevents memorization, enabling true learning & robust success. Discover how. A central problem in machine learning is to develop algorithms that work well both on training data and on new inputs (test data). Most machine learning tasks can be generalized as the estimation of a function \(\hat{f}(X)\) that maps the … Read more