Question

Answer

Q1. What is Machine Learning?

It is a part of AI where machines learn from data and improve their performance without being explicitly programmed.

Q2. Why does AI need data to learn?

Because data provides examples and patterns that help AI understand and make decisions.

Q3. What is training in Machine Learning?

Feeding data into an AI system so it can find patterns and make accurate predictions.

Q4. What happens if the data is biased or incomplete?

The AI may make wrong or unfair predictions.

Q5. How can we make an AI model smarter?

By providing it with more diverse, clean, and balanced training data.