Which statement best differentiates AI, machine learning, and deep learning?

The chosen answer accurately captures the hierarchical relationship and functional distinctions among artificial intelligence (AI), machine learning (ML), and deep learning (DL). AI encompasses the broadest category, referring to the capability of machines to perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, and solving problems.

Within AI, machine learning stands out as a specific approach that enables systems to learn from data, identifying patterns and making decisions without being explicitly programmed for each task. The process of machine learning involves algorithms that improve over time as they are exposed to more data.

Deep learning, on the other hand, is a subset of machine learning. It utilizes neural networks with many layers (thus the term "deep") to analyze and interpret complex data inputs, such as images or sound. This allows deep learning models to perform tasks with high accuracy, particularly in fields like computer vision and natural language processing.

The other choices present inaccuracies in their descriptions. For example, stating that machine learning is a type of AI that specifically uses deep learning algorithms misrepresents the relationship; while all deep learning is indeed a form of machine learning, not all machine learning uses deep learning techniques. Similarly, the claim that deep learning and AI are identical overlooks the broader scope of