What is the difference between AI and machine learning?
AI, or artificial intelligence, is a broad field that encompasses various technologies that enable machines to simulate human intelligence. Machine learning is a subset of AI that focuses on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention.
Can you give me an example of machine learning in action?
Sure! A common example of machine learning is email filtering. Email services use machine learning algorithms to analyze incoming messages and classify them as spam or not spam based on patterns learned from previous emails.
Are there other types of AI besides machine learning?
Yes, there are several types of AI, including rule-based systems, natural language processing, and robotics, among others. Each has its own methods and applications.
How does deep learning fit into this?
Deep learning is a specialized area within machine learning that uses neural networks with many layers. It's particularly effective for tasks like image and speech recognition.
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