Model Versioning in Machine Learning Explained in 60 Seconds | What is Model Versioning?

Model versioning in machine learning is how teams track, compare, and safely update different versions of their ML models over time. In this 60-second glossary video, you’ll learn what model versioning is, why it matters for reproducibility, and how it supports reliable deployments in real-world ML systems. What you'll learn: - A clear definition of model versioning in machine learning - How versioning helps you reproduce past results and debug issues - A simple mental model for thinking about model versions - A concrete example from a production ML workflow - Why model versioning is essentia…