Artificial Intelligence refers to the broader concept of machines being able to perform tasks that typically require human intelligence. These tasks include problem-solving, language processing, decision-making, and even sensory perception like vision and speech recognition. AI systems are designed to mimic human cognitive functions and can be applied in various fields such as healthcare, finance, customer service, and transportation.

Machine Learning, a subset of AI, involves the use of algorithms and statistical models that allow machines to "learn" from data. Instead of being explicitly programmed to perform a task, machine learning systems analyze data, identify patterns, and improve their performance over time based on experience. ML can be divided into supervised learning (where the model is trained on labeled data), unsupervised learning (where the model detects patterns without labeled data), and reinforcement learning (where the model learns through trial and error).

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