#tabular
3 articles
01
·How Transformers Work·★ MEMBER·PAPER·7 min read
Paper Explained: LimiX-2 — A Tabular Foundation Model That Learns the Whole Table, Not Just the Answer Column
LimiX-2 from the ground up: the shift from PFNs that predict a single target to Contextual Mechanism Networks that learn a table's joint distribution, cell-level representations, pretraining on synthetic causal data, and what the three benchmarks do and don't show.
02
·Machine Learning Basics·FREE·PAPER·12 min read
Decision Trees and Gradient Boosting — Still the Champion on Tabular Data
On data made of rows and columns, ensembles of decision trees are still the first thing to reach for. From the intuition behind a single split to boosting, what XGBoost and LightGBM actually do, and why neural networks have not taken this territory — built up from nothing.
03
·Machine Learning Basics·FREE·PAPER·12 min read
Decision Trees and Gradient Boosting — Still the Champion on Tabular Data
On data made of rows and columns, ensembles of decision trees are still the first thing to reach for. From the intuition behind a single split to boosting, what XGBoost and LightGBM actually do, and why neural networks have not taken this territory — built up from nothing.