“The Math Behind Machine Learning Explained in 60 Seconds | ML Basics for Beginners”

Ever wondered what kind of math powers Machine Learning? 🤔
In this short and focused video, we break down the core mathematical concepts that every aspiring data scientist and ML engineer should know.

You’ll learn about:
📘 Linear Algebra — the language of vectors and matrices that fuels ML algorithms
📉 Calculus — how derivatives and gradients optimise models
🎲 Probability & Statistics — understanding uncertainty and predictions
🧠 Why Math Matters — see how these concepts form the foundation of real-world AI applications

Perfect for:
Students stepping into AI, Data Science, or Machine Learning
Professionals who want a quick conceptual refresh
Anyone curious about how math shapes modern artificial intelligence

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