Core ML Concepts · intermediate · concept 27 of 311 · Updated Nov 4, 2026

🧠Regularization

Techniques to prevent overfitting by adding constraints to the model. L1 (Lasso) drives weights to zero for feature selection. L2 (Ridge) penalizes large weights. Dropout randomly disables neurons during training.