UC Santa Cruz will join three other institutions to establish a transdisciplinary research institute bringing together mathematicians, statisticians, and theoretical computer scientists to develop the ...

Nov. 11, 2021 — TigerGraph, provider of the leading graph analytics platform, has announced its enhanced Graph Data Science Library (previously named the GSQL Graph Algorithm Library.) This latest ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

In the world of data science, there are three core problems: acquiring data, doing the math and taking action. Two of those drive data scientists crazy; the other one they find easy. “Doing the math” ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Data science is the application of scientific techniques and mathematics ...

Todd is the CEO and Co-Founder of OmniSci, the pioneer in accelerated analytics that enables businesses to uncover important insights. For years, analytics and data science had always been siloed and ...

While a career in technology may naturally lead you to consider studying engineering or computer science, in today’s world of predictive marketing, cloud computing and globalized thinking, jobs ...

Building upon prior data acquisition and analysis coursework, students will effectively and flexibly generate advanced statistical models in a digital advertising-specific context. This course will ...

Check the Recommended Coursework Guides and the Data Science Course Catalog for more information. The B.S. in Data Science focuses on providing students with a solid foundation, emphasizing data ...

Sheryl Grey is a freelance writer who specializes in creating content related to education, aging and senior living, and real estate. She is also a copywriter who helps businesses grow through expert ...

The intersection of evolutionary algorithms and data-driven optimisation is reshaping materials science by offering novel computational frameworks for designing and refining materials. Drawing ...