Computer vision and machine learning are two closely related fields in the world of artificial intelligence. While machine learning focuses on developing algorithms that can learn from and make predictions or decisions based on data, computer vision specifically deals with enabling computers to interpret and understand visual information from the world around them. In simpler terms, machine learning is the broader concept of teaching machines to learn and improve their performance, while computer vision is a subset of this that specifically focuses on visual data. Both fields play a crucial role in advancing technology and are often used together in various applications, such as facial recognition, autonomous vehicles, and medical imaging.