# Breiman's "Two Cultures" Revisited and Reconciled

arXiv: https://arxiv.org/abs/2005.13596 · HTML: https://mlsanity.com/paper/2005.13596/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 May 2020.

## Built on by (most cited first, 1 of 1)

- [InfoGram and Admissible Machine Learning](https://mlsanity.com/paper/2108.07380/) (2021)

## Abstract (arXiv)

In a landmark paper published in 2001, Leo Breiman described the tense standoff between two cultures of data modeling: parametric statistical and algorithmic machine learning. The cultural division between these two statistical learning frameworks has been growing at a steady pace in recent years. What is the way forward? It has become blatantly obvious that this widening gap between "the two cultures" cannot be averted unless we find a way to blend them into a coherent whole. This article presents a solution by establishing a link between the two cultures. Through examples, we describe the challenges and potential gains of this new integrated statistical thinking.