Question By: AI (Artificial Intelligence) and machine learning are related but distinct concepts.
AI refers to the broader field of computer science focused on creating intelligent machines that can mimic or simulate human intelligence. It encompasses various techniques, methodologies, and algorithms used to develop systems capable of performing tasks that typically require human intelligence, such as understanding natural language, recognizing objects, making decisions, and solving complex problems.
Machine learning, on the other hand, is a subset or application of AI. It is a specific approach or method within the field of AI that enables computers to learn and improve from data without being explicitly programmed. Machine learning algorithms allow systems to automatically analyze large amounts of data, identify patterns, and make predictions or take actions based on those patterns.
In essence, machine learning is a technique that falls under the umbrella of AI. It enables AI systems to learn and adapt from data, whereas AI encompasses a broader range of techniques and concepts aimed at creating intelligent machines.
To summarize, AI is a field of study concerned with building intelligent systems, while machine learning is a specific technique within AI that allows systems to learn from data and improve their performance over time.
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