What is deep learning and how does it differ from traditional machine learning?

Deep learning is a subset of machine learning that utilizes neural networks with many layers (hence 'deep'). Traditional machine learning often relies on hand-crafted features and simpler models to make predictions, whereas deep learning automatically learns features from raw data through multiple layers of abstraction. This allows deep learning models to handle unstructured data, such as images and text, effectively. Additionally, deep learning typically requires larger datasets and more computational power than traditional methods, as the models are more complex and capable of capturing intricate patterns.