The difference between machine learning and deep learning lies in their complexity and approach to data. Machine learning refers to a subset of artificial intelligence where algorithms learn from structured data to make predictions or decisions. In contrast, deep learning is a more advanced technique that involves artificial neural networks with multiple layers, allowing the system to learn from unstructured data like images and sounds. While deep learning can achieve higher accuracy in tasks like image recognition, it typically requires larger datasets and more computational power.