Pattern recognition in machine learning refers to the ability to identify and categorize data patterns using algorithms. It plays a key role in applications like speech recognition, facial recognition, and fraud detection. By learning from datasets, machine learning models can improve predictions and automate complex tasks, making systems smarter and more efficient.