🧮 Introduction to Matrices – Basics & Operations | Class 11 AI (CBSE Code 843)

Learn the fundamentals of Matrices in this Class 11 Artificial Intelligence (CBSE Code 843) lesson!
We’ll explore the concept of matrices, their structure, and basic operations like addition, subtraction, and multiplication, explained in a simple and step-by-step manner.

Perfect for beginners in Mathematics, Python, and AI, this session will help you build a strong foundation in matrix concepts that are essential for higher studies in Artificial Intelligence, Data Science, and Machine Learning.

📌 What You’ll Learn:
✅ What is a matrix and its types (row, column, square, zero, identity)
✅ Basic operations: addition, subtraction, scalar multiplication
✅ Matrix multiplication with examples
✅ Real-life applications of matrices in AI, data science & computer vision

🔧 Python Tools (if coding included):
✔ NumPy – Perform matrix operations efficiently
✔ Hands-on examples for practice

📊 Why Watch This?
🔹 Aligned with Unit 1 – Introduction to Matrices of Class 11 AI CBSE Curriculum
🔹 Builds conceptual clarity + coding practice
🔹 Beginner-friendly explanation with step-by-step examples
🔹 Real-world connections: how matrices are used in AI & ML

👩‍🏫 Who Should Watch?

Class 11 AI (CBSE 2025–26) Students

Beginners in Python, AI, or Data Science

CBSE Teachers & Educators

Anyone wanting to understand matrices & their applications

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