A key feature of neural networks in machine learning is their ability to learn complex patterns from data. Utilizing layers of interconnected nodes (or neurons), these networks can automatically discover features and relationships without manual feature extraction. This characteristic permits accurate predictions in applications such as image and speech recognition, making neural networks a crucial aspect of deep learning techniques.