Computer vision and machine learning are both areas of artificial intelligence, but they are not the same.

Basically, computer vision is the field that studies how to make machines understand and interpret visual input from the outside world. For example, jobs like image segmentation, object detection, and image recognition fall under this category. This computer program processes and analyzes visual data using different algorithms to try to copy the way humans see and understand pictures.

More generally, machine learning is the process of teaching computers how to learn from data and use that information to make choices or predictions. It covers methods like reinforcement learning, supervised learning, and unsupervised learning. Image processing isn't the only type of data that machine learning can be used on.

In conclusion, machine learning encompasses a bigger range of data types and learning tasks than computer vision, which only deals with visual data. To make visual data analysis more accurate and faster, computer vision often uses machine learning methods.