Data science is an essential field within computer science and machine learning that uses statistics, algorithms, and technology to make meaningful analysis and predictions from large amounts of data.

Data volumes continue to explode with the global “datasphere” – the total amount of data created, captured, replicated and consumed – growing at more than 20 percent a year to reach approximately 291 ...

Data is increasingly the differentiator between winners and also-rans in business. Today, information can be captured from many different sources, and technology to extract insights is becoming ...

The Data Science & AI Initiative at LBS provides independent evidence, practical playbooks, and responsible adoption ...

Data science will drive innovation across an astounding variety of disciplines, from ecology to political science, attendees were told at the Delaware NextGen Data Science Symposium, organized and ...

The agency seeks information on how the consortium can fuel “self-improving” models that pull in scientific data from ...

This article introduces the field of bioinformatics and its importance as a cornerstone of biological research, as well as ...

A go-to software platform scientists use to do their work could become less glitchy, thanks to University of Alberta research ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...