#machine-learning

Gradient-boosted decision trees for people who've never trained one — how they work, when they win, when they don't, and why tabular foundation models are about to make this conversation more complicated.

The architecture behind every recommendation system that actually works at scale — why splitting the model in half is the key to serving billions of candidates in milliseconds.