How is AI different from Machine Learning?

Can you explain how AI is different from machine learning?

Sure! AI, or artificial intelligence, is a broad field that encompasses various technologies that enable machines to simulate human intelligence. Machine learning, on the other hand, is a subset of AI that focuses specifically on algorithms that allow computers to learn from and make predictions based on data.

So, is all machine learning considered AI?

Yes, all machine learning is considered a part of AI, but not all AI involves machine learning. AI can include rule-based systems, expert systems, and more, while machine learning specifically refers to systems that improve their performance through experience.

Can you give me an example of AI that doesn't use machine learning?

Certainly! A classic example of AI that doesn't use machine learning is a simple chatbot that follows predefined rules to respond to user queries. It doesn't learn from interactions but operates based on programmed responses.

What are some real-world applications of machine learning?

Machine learning is used in various applications, such as recommendation systems (like Netflix), image recognition, fraud detection, and natural language processing.