Data Science Articles

Julia Zolotarev

Updated on August 01, 2025

A non-relational database (or NoSQL database) is a data storage system that allows flexible, schema-less organization of information using formats like documents, key-value pairs, graphs or wide-column structures.

Artem Oppermann

Updated on August 01, 2025

Data silos are isolated collections of data within an organization that are not easily accessible by other teams or systems, hindering collaboration and unified data analysis.

Sara A. Metwalli

Updated on July 31, 2025

Data labeling is the process of annotating raw data with meaningful tags or classifications so machine learning models can learn to recognize patterns and make accurate predictions.

Edoardo Romani

Updated on July 31, 2025

Diagnostic analytics is the process of examining historical data to identify the root causes behind outcomes, trends or anomalies.

Artem Oppermann

Updated on July 31, 2025

Object-relational mapping (ORM) is a programming technique that lets developers use object-oriented code to interact with relational databases, by translating objects to and from database-compatible formats.

Ali Zonoozi

Updated on July 31, 2025

Matrix factorization is a mathematical technique that decomposes a large matrix into two lower-rank matrices whose product approximates the original, revealing latent patterns in the data. It's used in data science and unsupervised learning applications.

Bisola Olasehinde

Updated on July 31, 2025

There are four common methods that will allow you to add Python variables in a string, including: the comma, the modulus operator, string format and f-strings. Here’s how they work.

Matt Przybyla

Updated on July 30, 2025

Data science focuses on extracting data insights by using mathematics, statistics and programming, while computer science focuses on computer hardware, software and systems. Here’s what you need to know as you enter either field.

David McInerney

Updated on July 29, 2025

Patients are sharing more data than ever before with health care apps, but data privacy and consent practices haven’t kept up. Here’s what that means for patients and companies.  

Zakaria Jaadi

Updated on July 29, 2025

Data standardization involves converting data into a standard format, which makes it easier to understand for systems and helps improve processing and data analysis.