Vulnerability in the labor market refers to the multidimensional fragility of an individual in the face of the risks of ...

Remotely sensed geospatial data are critical for applications including precision agriculture, urban planning, disaster monitoring and response, and climate change research, among others. Deep ...

The data were collected from 50 Angus beef cattle farms, with the number of samples per farm ranging from 57 to 1,706 and an average of 264 samples per farm. The farms are geographically close, ...

Variance is the key ingredient that gamblers need to make a profit and an essential part of casino games. Understanding how variance works, and allowing it to play its course is crucial for making a ...

In an era when data-driven decisions and systems influence every sector of business and society, talented professionals who bring an ethical framework to data science are more in demand than ever. The ...

If you are struggling to keep track of performance metrics and identify areas needing improvement? You will be pleased to know that you are not alone. Many people find it challenging to sift through ...

Gauging the risk of tipping points is of relevance in complex systems ranging from health to climate. For this purpose, dynamical indicators of resilience are being derived from long continuous time ...

New research from the Data Provenance Initiative has found a dramatic drop in content made available to the collections used to build artificial intelligence. By Kevin Roose Reporting from San ...

Variance is a useful analytical tool when it comes to measuring data, and helps you to calculate the range of numbers in a set of data. This is handy for a multitude of reasons, from calculating ...

Leveraging open standards like MQTT Sparkplug facilitates data modeling and self-discovery, establishing a source of truth at the edge. As industrial companies work to make better use of their data to ...