What is the difference between Artificial Intelligence, Machine Learning, and Deep Learning?

Artificial Intelligence (AI) is the broad concept of creating machines capable of performing tasks that typically require human intelligence, such as understanding natural language, learning, reasoning, and problem-solving.

Machine Learning (ML) is a subset of AI that focuses on the development of algorithms that allow computers to learn from and make decisions based on data, without being explicitly programmed for each task.

Deep Learning (DL) is a further specialization within ML that uses multi-layered neural networks (often called deep neural networks) to model and learn complex patterns in data, enabling breakthroughs in areas like image and speech recognition.

In summary, while all deep learning is machine learning and all machine learning is a part of AI, AI encompasses a broader range of technologies beyond just learning from data.

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