How does machine learning differ from artificial intelligence?

Machine learning (ML) and artificial intelligence (AI) are related but distinct fields.



Artificial intelligence is a broader concept that refers to the development of systems and computer programs that can perform tasks that typically require human intelligence, such as understanding natural language, recognizing images, or making decisions.

Machine learning, on the other hand, is a specific subfield of AI that focuses on the development of algorithms and models that can learn from data and improve their performance over time. In machine learning, the algorithms and models are trained using a large dataset and an optimization algorithm, allowing them to automatically learn and improve from experience.

In other words, AI refers to the idea of building machines that can perform tasks that normally require human intelligence, while machine learning is a specific approach to achieving AI through the use of algorithms and models that can learn from data.

Therefore, all machine learning is AI, but not all AI is machine learning. There are other approaches to achieving AI, such as rule-based systems and expert systems, that do not involve machine learning.

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