Thanks to AI, data science tasks that once demanded specialized skills can now be performed faster, more accurately and at a ...

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 science is an interdisciplinary field of study that uses modern tools and techniques to extract meaningful information, find unseen patterns, and make business decisions from structured and ...

Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...

A key challenge today is that open-source data science tools are unable to keep up with advances in compute hardware. The computer industry has built incredibly powerful systems, but many data ...

Fifth Annual Data Science Bowl Will Analyze Digital Game Play to Help Build More Effective Educational Media Tools for Children In partnership with PBS KIDS, this year’s competition will look at ...

Remember that quote I started part two with? About data scientists wanting better tools for wrangling so they could work on the “sexy stuff”? Well, after covering how data is stored, how it’s cleaned ...

This initiative will create the Center for Environmental Data Science to leverage existing ESF resources to address institutional weaknesses, and to be responsive to emergent data science themes being ...

Doris Lee is the CEO and co-founder of Ponder, which recently closed a $7 million seed round led by Lightspeed Venture Partners with participation from Intel Capital, 8VC, and The House Fund. The ...

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 ...