Machine learning vs Artificial intelligence
Machine learning and artificial intelligence (AI) are related, but distinct, fields of study and technology.
Machine learning is a subfield of AI that focuses on the development of algorithms and models that can learn from and make predictions or decisions based on data, without being explicitly programmed to do so. Machine learning algorithms are trained on a large dataset, and they can automatically improve their performance over time as they learn from the data.
Artificial intelligence, on the other hand, is a broader field that encompasses machine learning as well as other approaches to building intelligent systems. AI includes the development of systems that can exhibit intelligent behavior, such as reasoning, learning, and self-correction, in a way that is similar to how humans or animals do.
In summary, machine learning is a specific approach to building AI systems that involves training algorithms on data, while AI is a broader field that includes machine learning as well as other approaches to building intelligent systems
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