AI’s biggest constraint isn’t algorithms anymore. It’s data…specifically, high-quality, forward-looking data. It is the “Rare ...

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

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, ...

Understand the principles of efficient algorithms for dealing with large scale data sets and be able to select appropriate algorithms for specific problems. Understand and be able to apply the main ...

Derived and derivative algorithms refer to computational models or methods that evolve from, adapt, or draw inspiration from pre-existing algorithms. These new algorithms must introduce innovative ...

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 ...

Categorizing patients with cancer by their disease stage can be an important tool when conducting administrative claims-based studies. As claims databases frequently do not capture this information, ...

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.