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Artificial Intelligence (AI) and Machine Learning (ML) are closely related concepts, but they are not exactly the same thing.
Artificial Intelligence refers to the simulation of human intelligence in machines that are designed to think and act like humans. It includes a broad range of technologies, including expert systems, natural language processing, robotics, and machine learning.
Machine Learning, on the other hand, is a subset of AI that involves the use of algorithms and statistical models to enable machines to improve their performance on a specific task over time. In other words, machine learning allows computers to learn from experience and make predictions or decisions without being explicitly programmed to do so.
In summary, AI is a broader term that encompasses multiple technologies, while machine learning is a specific approach to AI that focuses on using data to enable machines to learn and improve their performance over time
