Within the topic of artificial intelligence, computer vision and machine learning are intimately intertwined. Computer vision addresses the specialized task of enabling computers to perceive and comprehend visual information from their environment, whereas machine learning concentrates on creating algorithms that can learn from and make predictions or judgments based on data. Put more simply, computer vision is a subset of machine learning that focuses exclusively on visual input, whereas machine learning as a whole is the larger idea of teaching machines to learn and gain better performance. In numerous applications, like facial recognition, driverless cars, and medical imaging, these domains are frequently combined and play a significant role in the advancement of technology.