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AI vs machine learning
AI (Artificial Intelligence) and machine learning are two terms that are often used interchangeably, but they are actually quite different. AI is a broad term that refers to machines that are able to think and act like humans, or to systems that are able to perform tasks that normally require human intelligence. Machine learning, on the other hand, is an application of AI that focuses on the development of algorithms that are able to learn from data and make predictions. In other words, machine learning is a subset of AI.
AI is a broad field and can range from basic tasks like recognizing objects in an image to complex tasks such as natural language processing and decision-making. Machine learning, on the other hand, is focused on developing algorithms that can learn from data and make predictions. Machine learning algorithms can be applied to a variety of tasks such as classification, clustering, and predictive analytics.
In summary, the main difference between AI and machine learning is that AI is a broad term that encompasses a range of technologies, while machine learning is a subset of AI that focuses on developing algorithms that can learn from data and make predictions.
AI (Artificial Intelligence) and machine learning are two terms that are often used interchangeably, but they are actually quite different. AI is a broad term that refers to machines that are able to think and act like humans, or to systems that are able to perform tasks that normally require human intelligence. Machine learning, on the other hand, is an application of AI that focuses on the development of algorithms that are able to learn from data and make predictions. In other words, machine learning is a subset of AI.
AI is a broad field and can range from basic tasks like recognizing objects in an image to complex tasks such as natural language processing and decision-making. Machine learning, on the other hand, is focused on developing algorithms that can learn from data and make predictions. Machine learning algorithms can be applied to a variety of tasks such as classification, clustering, and predictive analytics.
In summary, the main difference between AI and machine learning is that AI is a broad term that encompasses a range of technologies, while machine learning is a subset of AI that focuses on developing algorithms that can learn from data and make predictions.