What are some examples of regularization in machine learning algorithms?

What are some examples of regularization in machine learning algorithms?

Regularization techniques help prevent overfitting in models. Examples include L1 and L2 regularization in linear regression.

Can you explain L1 and L2 regularization?

Sure! L1 regularization adds the absolute value of the coefficients as a penalty term, promoting sparsity. L2 regularization adds the squared value of the coefficients, which helps in reducing model complexity.

In which algorithms are these regularization techniques commonly used?

L1 and L2 regularization are commonly used in linear regression, logistic regression, and support vector machines.

Are there any other regularization methods?

Yes, there are methods like dropout in neural networks and early stopping, which also help in regularization.