Advanced Concepts of Modelling in AI – Class 10 CBSE

Artificial Intelligence (AI) is one of the most exciting subjects introduced in Class 10 CBSE, and the chapter “Advanced Concepts of Modelling in AI” is packed with concepts that often appear in exams.

Many students feel confused between classification vs regression, supervised vs unsupervised learning, reinforcement learning, clustering, and neural networks—but don’t worry! To make learning easier, we’ve compiled the most important questions with simple answers in one place.

Why this PDF is useful?

✅ Covers MCQs that are exam-focused
✅ Includes long-answer explanations in simple language
✅ Provides easy-to-remember tips & tables
✅ Contains real-life examples like chatbots, self-driving cars, and face recognition

What’s Inside the PDF?

Here are some of the important questions covered:

1. What is the difference between classification and regression? (With examples)
2. Explain supervised, unsupervised, and reinforcement learning with real-life cases.
3. What is clustering and how is it different from classification?
4. Case study questions – Identify model type (classification, regression, clustering, association).
5. What is a neural network? Explain its components.
6. How does a neural network learn from data?
7. Difference between biological and artificial neural networks.
8. Real-life applications of neural networks (medical, self-driving cars, face recognition).

And much more, all explained in student-friendly language.