Dec. 8, 2023, 7:48 a.m. | Rodrigo Silva

Towards Data Science - Medium towardsdatascience.com

How information about a target variable is distributed across its multiple features

Photo by Alina Grubnyak, via Unsplash.

When a target variable is influenced by multiple sources of information, it is crucial (and yet not trivial) to understand how each source contributes to the overall information provided.

In this article I'll start with the basic concept of surprise, then I'll proceed to explain how entropy consists of the average amount of surprise distributed over a random variable, and this …

article data science distributed features information information-theory machine learning multiple programming statistics unsplash

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