Which of the following is a primary advantage of using deep learning algorithms in Machine Learning?

Question $31$ options:

They are less prone to overfitting on small datasets

They require fewer computational resources than traditional machine learning algorithms.

They can automatically extract intricate features from raw data, reducing the need for manual feature engineering

They are more interpretable, making it easier to understand how the model makes predictions.