Data lineage provides a visual and documented map of data movement and transformation, helping founders ensure accuracy and resolve technical debt as their startup scales.
Underfitting happens when a machine learning model is too simple to capture the underlying structure of data, leading to poor performance on both training and test sets.
The cold start problem is a data challenge where systems cannot make accurate predictions or recommendations because they lack sufficient information about new users or items.