Given Python's role as a darling of the data science community, its rise to be the most popular language on GitHub (with the exception of code pushes alone, where JavaScript still holds the top ...

News News: Discover the top 10 technical data sources for advanced data science projects. These sources provide high-quality datasets tailored for cutting-edge data science projects.

When the Ebola outbreak in West Africa picked up pace in July 2014, Caitlin Rivers started to collect data on the people affected. Rivers, then a PhD student in computational epidemiology, wanted ...

Github has grown to more than 40 million developers and its growth is getting a big boost from data science, artificial intelligence and machine learning repositories. In its annual Octoverse ...

But if this is a universal understanding, that AI empirically provides a competitive edge, why do only 13% of data science projects, or just one out of every 10, actually make it into production?

Data science needs room to experiment, but enterprise environments want everything production-ready from day one. This tension creates a massive roadblock to innovation. The Time-To-Market Challenge ...

This course uses a project-based learning approach towards the study of online publishing and group-based collaboration, essential ingredients of modern data science projects. It introduces the ...

Nino Letteriello is a data and project management leader, DAMA Award winner, WEF author, UN advisor, MIT lecturer & FIT Group co-founder. A significant percentage of data science projects continue ...