In fact, the system can host several competitions at once. A data science platform is a software hub around which all data science work takes place. For more information, please visit A U.S. Department of Energy National Laboratory Operated by the University of California Results are then uploaded to the competition portal and scored against the canonical ground truth data.”Cholia notes that the Berkeley Lab-developed platform includes a user-friendly web portal where competition hosts can upload datasets and setup a competition. “The Berkeley Lab competition platform has been really easy to use.”Quiter’s team has been working with CRD to develop data management frameworks and tools for a number of nuclear science projects over the years.“Many of my projects are NNSA-funded, and they became aware of our ability to build platforms for managing and disseminating data to researchers across the country. This is what prompted them to ask us to develop this competition portal,” says Quiter. Our computer scientists and engineers are embedded with the domain science team, so that we can understand their requirements and build software to meet their needs.” says Cholia.
About Us Blog News Guidelines. Please try again. is a software hub around which all data science work takes place.
That’s because the most popular tools for data science work are always evolving, so it’s important that the platform your data scientists use can keep up with these changes. “You can think of it as crowd-sourced machine learning and analytics, where users download test and training datasets, and apply their own techniques to predict a set of results. For an event like this, academic organizations and businesses typically upload their datasets to a platform like So NNSA turned to researchers and engineers in the Lawrence Berkeley National Laboratory’s (Berkeley Lab’s) “We are creating a data competition portal. View SAS competitors and alternatives reviewed by the IT community. But since the space is so new, there's still some confusion about what a data science platform actually is.
That work usually includes integrating and exploring data from various sources, coding and building models that leverage that data, deploying those models into production, and serving up results, whether that’s through model-powered applications or reports.Having a centralized location for data science work is important. compare_arrows Compare rate_review Write a Review Download PDF. That way, your team can collaborate on projects without losing valuable work along the way. What components make up a data science platform, and how do you know if one is worth the investment for your company? Become a Contributor Info for Vendors Add a … Development of the portal included key contributions from Hamdy Elgammal (CRD), Yeongshnn Ong (CRD), Kai Song (IT), Krishna Muriki (IT) and Val Hendrix (CRD), who worked with NSD staff to build a robust and reusable platform.The Computing Sciences Area at Lawrence Berkeley National Laboratory provides the computing and networking resources and expertise critical to advancing Department of Energy Office of Science research missions: developing new energy sources, improving energy efficiency, developing new materials, and increasing our understanding of ourselves, our world, and our universe.Founded in 1931 on the belief that the biggest scientific challenges are best addressed by teams, DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time.
LANL led the design of the competition from the data science perspective, while ORNL formulated the modeled data to test the competitors’ algorithms.