Object oriented models vs. data analysis -- is this the right alternative?

TL;DR

This paper examines the historical and conceptual roles of mathematics in data science, comparing object-oriented models and data analysis to evaluate their effectiveness and appropriateness.

Contribution

It provides a conceptual review of the roles of mathematical models in data science, highlighting the differences between object-oriented models and data analysis approaches.

Findings

Mathematics has played a central role in data science development.

Object-oriented models offer a different perspective compared to traditional data analysis.

The paper discusses the suitability of these models in modern data science contexts.

Abstract

We review the role of mathematics from a historical and a conceptual perspective in the light of modern data science.