Oct. 19, 2022, 7:29 p.m. | Chris Walsh

Towards Data Science - Medium towardsdatascience.com

Clarifying goals for informed decisions

One of the biggest sources of confusion in Data Science, and specifically between Data Science teams and business leaders, is the distinction between explanatory and predictive models. There is often a lack of definition around whether the goal of a project is to accurately forecast something, as in a predictive model. Or whether the goal is to show why something has happened, as in an explanatory model.

Photo by Pablo García Saldaña on Unsplash

The …

analytics data science modeling predictive predictive analytics project project-management

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne