Beginners should undertake data science projects as they provide practical experience and help in the application of theoretical concepts learned in courses, building a portfolio and enhancing skills.

In an effort to remain competitive in today’s increasingly challenging economic times, companies are moving forward with digital transformations — powered by data science and machine learning — at an ...

“If your competitors are applying AI, and they’re finding insight that allow them to accelerate, they’re going to peel away really, really quickly,” Deborah Leff, CTO for data science and AI at IBM, ...

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 to ...

Responding to an impending hazard means that time is limited, so analysis and decision-making must proceed on an accelerated timetable. Modeling, numerical simulation, leading to predictive capacity, ...

The five surprising tips for pharmaceutical leaders starting their data science journey. Here’s how you must pick the right analytics projects, secure funding, build an early team, source data, and ...

When working on a data-driven project, finding reliable and high-quality data sets is essential. Fortunately, there are several free sources available that provide access to a wide range of data sets ...

“Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by Ellen Houston, managing director of ...

Breakthroughs, discoveries, and DIY tips sent every weekday. Terms of Service and Privacy Policy. When I was a kid, science was one of my favorite subjects. I loved ...

As researchers across Yale continue to probe and ponder the most effective uses for artificial intelligence, machine learning, and massive databases, they’re also mindful of the human element at the ...