We use algorithms every day for things like image searches, predictive text, and securing sensitive data. Algorithms show up ...

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

Closing this data gap is both easy and hard. It’s easy because it has a very simple solution: collect sex-disaggregated data.

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Data clustering remains an essential component of unsupervised learning, enabling the exploration and interpretation of complex datasets. The field has witnessed considerable advancements that address ...

Data structures and algorithms constitute the foundational pillars of computer science. They provide the systematic methods for organising, storing and manipulating data, and offer step-by-step ...

shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...

Social data refers to publicly shared information on social media platforms. Discover how it's used for marketing, its advantages, and the risks associated with data breaches.

Cosmonaut Nikolai Chub working on the Russian segment of the International Space Station during an April 2024 spacewalk. Credit: NASA MILAN – Spacewalks, often a highlight of space missions, are ...

We developed two algorithms to identify patients with stomach, lung, colorectal, breast, and cervical cancers: diagnosis only (algorithm 1), and combining diagnosis, treatments, and medicines ...

The Foundations of Data Structures and Algorithms specialization includes two optional preparation courses and a three-course pathway to earn admission to the Online MS in Computer Science. You must ...