Data Science Articles

Sorted By: Most Recent
Hal Koss Hal Koss
Updated on September 11, 2025

Fantasy Football Analytics: How Data Science Took Over the Game

Anecdotes ruled fantasy football conversations. Then the math nerds crashed the party.

Ellen Glover Ellen Glover
Updated on September 10, 2025

What Is Natural Language Generation?

NLG models produce text and speech that is so natural, you’d think a human did it.

Image: Ascannio / Shutterstock / Built In
Peter Grant Peter Grant
Updated on September 10, 2025

How to Find Residuals in Regression Analysis

Do you need to improve your regression model’s performance? Use this sample Python code to help you find residuals in your own projects.

Sadrach Pierre Sadrach Pierre
Updated on September 09, 2025

Calculating Quartiles: A Step-by-Step Explanation

Quartiles are a useful tool to rigorously analyze various types of data. This guide will introduce you to their calculation in Python.

Sara A. Metwalli Sara A. Metwalli
Updated on September 09, 2025

10 Key Data Science Skills That Will Surprise You

Being a great data scientist takes more than just knowing how to program. You also need these 10 soft skills.

Michael Kingston Michael Kingston
Updated on September 08, 2025

Dominated Strategy in Game Theory: Explained

A dominated strategy is a choice in a game that always results in a worse payoff for a player than another available strategy, no matter what the other players do.

Image: Shutterstock / Built In
Matthew Urwin Matthew Urwin
Updated on September 05, 2025

Trump Is Railing Against the EU’s Digital Services Act. U.S. and Tech Giants Are Caught in the Middle.

The European Union’s Digital Services Act aims to place Big Tech under stricter regulations. But Trump and his allies have other plans, casting doubt on the future of the act and U.S.-EU trade relations.

Image: Shutterstock
Sue Liu Sue Liu
Updated on September 02, 2025

The Dirichlet Distribution: What Is It and Why Is It Useful?

The Dirichlet distribution is a multivariate probability distribution that models vectors of non-negative values summing to one, commonly used as a prior for categorical and multinomial variables in Bayesian statistics.

Image: Shutterstock / Built In
Dr. Derek Austin Dr. Derek Austin
Updated on September 02, 2025

Big O vs. Big Theta vs. Big Omega Notation Differences Explained

Big O, Big Theta and Big Omega notations express an algorithm’s time and space complexity. Discover what each one is and what the differences between them are.

Image: Shutterstock / Built In
Ellen Glover Ellen Glover
Updated on August 29, 2025

What Is Edge AI?

Edge AI lets devices make smarter decisions faster, without connecting to the cloud or offsite data centers.

Image: Shutterstock / Built In

Related Topics