Data Science Articles

Matthew Urwin

Updated on September 23, 2025

The Trump administration is leaning on major tech companies to expand AI education in the United States. Will it work?

Suraj Gurav

Updated on September 22, 2025

A confusion matrix is a table used to evaluate the performance of a classification model by comparing the predicted labels with the actual labels, showing true positives, true negatives, false positives and false negatives.

Satyam Tripathi

Updated on September 22, 2025

KeyError in Python is an exception that occurs when you try to access a key that does not exist in a dictionary.

Sohail Hosseini

Updated on September 22, 2025

A t-test is a statistical test used to determine if there is a significant difference between a sample mean and a hypothesized population mean, or between the means of two independent groups. Here's how to perform a t-test in Python.

Kacper Michalik

Updated on September 18, 2025

AWS and Azure dominate the cloud market, but their architectures, pricing and feature sets differ. This guide compares trade-offs to help technical teams choose the right platform.

Matthew Urwin

Updated on September 17, 2025

In the wake of the antitrust ruling, Google can breathe easier — Chrome and Android are safe. But new mandates to share data with its competitors could be costly, as generative AI continues to take over the search industry.

Abdishakur Hassan

Updated on September 17, 2025

Geospatial Intelligence provides transformative insights by connecting location data with other spatial and non-spatial data. This is how it works.

Gordon Gottsegen

Updated on September 17, 2025

Machine learning is at the helm of social media, self-driving cars and more daily applications.

Eric Kleppen

Updated on September 16, 2025

We use sentiment analysis to gain insights into a target audience’s feelings about a particular topic. Here are the basics of sentiment analysis types and techniques.

Sara A. Metwalli

Updated on September 15, 2025

Data science terms are the specialized vocabulary used to describe concepts, techniques and processes within the field of data science, including areas like statistics, machine learning and data analysis.