In the realm of artificial intelligence, computer vision and machine learning are two closely connected disciplines. Computer vision focuses on giving computers the ability to read and comprehend visual information from their environment, whereas machine learning is concerned with creating algorithms that can learn from data and make predictions or judgments based on it. To put it another way, computer vision is a subset of machine learning that specializes on visual data, whereas machine learning as a whole is the larger idea of teaching machines to learn and perform better. Both disciplines are essential to the advancement of technology and are frequently combined in a variety of applications, including medical imaging, driverless cars, and facial recognition.