Computer vision and machine learning are closely related fields, but they serve different purposes in the realm of artificial intelligence.

Computer Vision focuses on enabling machines to interpret and understand visual information from the world. This involves tasks like image recognition, object detection, and image segmentation. It uses various algorithms to process and analyze visual data, aiming to replicate the human ability to see and understand images.

Machine Learning, on the other hand, is a broader field that involves training algorithms to learn from data and make prediction