Deep learning differs from traditional machine learning primarily through its use of neural networks with many layers, allowing it to automatically learn representations from raw data. Deep learning excels in handling unstructured data like images and speech, enabling superior performance in tasks such as image recognition and natural language processing. In contrast, traditional machine learning often relies on feature engineering and smaller datasets.