7. Performance Metrics in Regression (Part 2) | MSE vs MAE vs RMSE Explained with Intuition

In this video, we explain regression performance metrics – MSE, MAE, and RMSE in a clear and intuitive way.
This is Part 2 of the Performance Metrics in Regression series.

You will understand:

What Mean Squared Error (MSE) is and why it penalizes large errors

What Mean Absolute Error (MAE) means and when it is better than MSE

Why Root Mean Squared Error (RMSE) is widely used and how it differs from MSE

When to use MSE vs MAE vs RMSE in real machine learning problems

These metrics are essential for linear regression, machine learning models, interviews, and exams.
Perfect for beginners, students, and working professionals in data science and AI.

📌 Watch Part 1 to understand other regression metrics before this video.

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Видео 7. Performance Metrics in Regression (Part 2) | MSE vs MAE vs RMSE Explained with Intuition канала ZeroToQuery