Shuttleworth still sees hope for a Linux desktop with broad appeal. Seager stressed Canonical is improving its development pipeline. Both executives believe in Rust for improved Linux security. At the ...

Abstract: Canonical correlation analysis (CCA) is a widely used multivariate analysis technique for explaining the relation between two sets of variables. It achieves this goal by finding linear ...

Canonical URLs help prevent duplicate content in search. Learn what they are, why they matter, and how to set them up correctly to protect rankings. Canonical URLs are HTML elements that tell search ...

The first time I saw the “Duplicate without user-selected canonical” error in Google Search Console, I gulped. “Oh, no. Please, not this.” Then I saw it again ...

Correlation coefficients range from -1 to +1, indicating the strength of relationships between variables. Investors use correlation coefficients for portfolio diversification to reduce risk.

Correctly distinguishing between correlation and causation is critical because it influences how treatments for illnesses are devised and tested. Also, in the context of the law, it ensures that as ...

In our recently published 2025 Diversification Landscape report, Christine Benz, Karen Zaya, Jason Kephart, and I took a deep dive into how different asset classes performed in the past couple of ...

Russell has a PhD in the history of medicine, violence, and colonialism. His research has explored topics including ethics, science governance, and medical involvement in violent contexts. Russell has ...

Sparse canonical correlation analysis (sCCA) has been a useful approach for integrating different high-dimensional datasets by finding a subset of correlated features that explain the most correlation ...