How do Artificial Intelligence (AI) and Machine Learning (ML) relate to each other?

The relationship between Artificial Intelligence (AI) and Machine Learning (ML) is accurately described in the chosen answer. Machine Learning is indeed a subset of AI, which encompasses a broader spectrum of techniques and methodologies designed to enable machines to mimic cognitive functions like understanding, reasoning, and problem-solving.

ML specifically focuses on the development of algorithms and statistical models that allow computers to learn from and make predictions or decisions based on data. This learning process can happen through various approaches, including supervised learning, unsupervised learning, and reinforcement learning, indicating that ML is not limited to just one type of learning method.

Understanding this hierarchy—where AI serves as the overarching field that includes ML—provides clarity on how various AI techniques are used to achieve intelligent behavior. This distinction is crucial when exploring applications of AI, as it determines the methodologies implemented to derive insights and automate tasks.