Library
Chapter 12
Advanced Models for Tabular Data
Curated summaries of the key literature behind this chapter — the findings, the methods, and how to put them to work.
21 referenced in this chapter
This chapter Library is for Research-to-Production students
R2P students unlock curated summaries of every key paper behind this chapter — the core findings, the methods, and how to apply them — plus resources we keep adding over time.
Greedy Function Approximation: A Gradient Boosting Machine
Random Forests
Random Search for Hyper-Parameter Optimization
Predictive learning via rule ensembles
XGBoost: A Scalable Tree Boosting System
plus 16 more references inside