Data Science Articles

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.

Peter Grant

Updated on September 15, 2025

A lambda function in Python is an anonymous function defined with the lambda keyword. It can take any number of arguments but has only one expression, the result of which is automatically returned.

Parul Pandey

Updated on September 15, 2025

Jupyternotify is a Jupyter Notebook extension that provides a browser notification when a code cell is done executing.

Vihar Kurama

Updated on September 12, 2025

Collaborative filtering is a recommendation method that predicts user interests by analyzing how other users with similar preferences have interacted with specific items.

Mohammed Alhamid

Updated on September 12, 2025

An ensemble model combines multiple machine learning models to improve prediction accuracy, outperforming a single model. Here’s how and when to use ensemble techniques for your machine learning models.