Core ML Concepts · intermediate · concept 23 of 176

🧠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.