Data/ML/AIAround since 2014
Gradient Boosting and Random Forests
Also written as XGBoost, LightGBM, Random Forest, Decision Tree
Models built by combining many simple decision trees. On ordinary business data held in tables these usually beat deep learning, and they remain the workhorse of practical data science.
Think of it like
A panel of many rough-and-ready judges whose combined verdict beats any single expert.
Junior or senior?
A strong tell that someone has done real tabular work rather than only tutorials.
Senior sounds like
Can say when they reached for this instead of a neural network, and why.
Ask them
“When did you choose a tree-based model over a neural network, and what made that the right call?”