Difference between AI (Artificial Intelligence) and Machine Learning (ML)

🤖 AI (Artificial Intelligence):

Definition: AI refers to creating machines or software that can perform tasks that typically require human intelligence.
Example: Think of AI as the brain of a robot. It allows the robot to make decisions, learn from its environment, and adapt to new situations.
Emoji: 🤖

🧠 Machine Learning (ML):

Definition: ML is a subset of AI. It’s like teaching a computer to learn from data without explicitly programming it.
Example: Imagine you’re teaching a pet dog to recognize different toys. You show the dog examples of a ball, a bone, and a frisbee. Over time, the dog learns to identify these objects on its own.
Emoji: 🧠

🤖 vs. 🧠:

AI is the big concept—the idea of creating smart machines.
ML is the practical implementation within AI—it’s how we teach those machines to learn and improve.

Remember, AI is like the dream of creating intelligent beings, and ML is the practical way we make that dream come true! 🛠️🚀

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