Model Retraining in Machine Learning Explained in 60 Seconds | Why Models Need Fresh Data

Model retraining in machine learning is how you keep a deployed model accurate as the real world changes. In this 60-second glossary video, you’ll learn what model retraining means, why it’s needed, and how it shows up in real products like fraud detection and recommendation systems. We break down the idea in plain English so students, engineers, and AI-curious professionals can quickly grasp how ongoing training with new data prevents models from going stale. What you'll learn: - What "model retraining" means in machine learning - An intuitive mental model for thinking about retraining - A …