Within the subject of artificial intelligence, machine learning and computer vision are closely related disciplines. The goal of computer vision is to enable computers to read and comprehend visual information from their environment, whereas the goal of machine learning is to create algorithms that can learn from data and make predictions or judgments based on it. In layman's words, computer vision is a subset of machine learning that concentrates exclusively on visual input, whereas machine learning is the more general idea of teaching machines to learn and perform better. Together, these domains are frequently employed in a variety of applications, including medical imaging, driverless cars, and facial recognition, and they both contribute significantly to technological advancement.