Pattern recognition and machine learning often overlap and are used interchangeably. However, there is a subtle difference. Pattern recognition primarily focuses on making sense of specific patterns in the data and assigning some meaning to these patterns. Machine learning, on the other hand, focuses on improving the performance of a machine or system in making predictions or decisions based on the learning from data.