Advanced Matrix Computations
A penalty term is an additional component added to a loss function in machine learning and statistical models to discourage complexity and overfitting. By introducing a penalty term, models are guided to prioritize simpler solutions that generalize better on unseen data rather than fitting the noise in the training data. This helps in balancing the trade-off between fitting the training data well and maintaining a model that performs robustly on new inputs.
congrats on reading the definition of Penalty Term. now let's actually learn it.