Which option best describes the relationship between Machine Learning and AI?

The relationship between Machine Learning and AI is accurately described by stating that Machine Learning is a subset of AI. Artificial Intelligence (AI) encompasses a wide range of technologies and methodologies aimed at creating systems that can perform tasks typically requiring human intelligence. This includes reasoning, problem-solving, perception, and language understanding.

Machine Learning specifically refers to a technique within AI where algorithms improve their performance on a task through experience, or in other words, by learning from data. It focuses on developing methods that enable machines to learn patterns and make decisions based on the data they analyze. Since Machine Learning is one of the main approaches used to achieve AI, it is classified as a subset of the broader field of artificial intelligence.

Understanding this relationship is crucial as it illustrates how Machine Learning contributes to the overall goals of AI, indicating that while all Machine Learning is AI, not all AI is Machine Learning.