Top 3 Ways to Determine If Your Machine-Learning Implementation is Debt Free -- Upside

The same can be said about machine-learning systems. There is a crucial difference between hidden and technical debt. Technical debt can be addressed by refactoring code, removing dead code, reducing dependencies, introducing abstractions for easy maintainability, and so on. However, hidden debt is dangerous because it compounds silently. Does this sound like an issue your team is running into?