Machine learning (ML) and artificial intelligence (AI) are related terms, but they refer to different concepts.

AI is a broad field of computer science that aims to create machines that can perform tasks that typically require human-like intelligence, such as perception, reasoning, learning, problem-solving, and decision-making. AI can be categorized into three main types: narrow or weak AI, general or strong AI, and superintelligence.

On the other hand, ML is a subfield of AI that involves developing algorithms that allow machines to learn from data, without being explicitly programmed. ML algorithms can improve their performance over time by learning from new data inputs, and they can be trained to perform a wide range of tasks, such as image recognition, language translation, speech recognition, and predictive modeling.
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