Yet, for many companies, implementing data science into various aspects of their businesses can prove difficult if not daunting. According to Gartner analyst Nick Heudecker, over 85% of data science ...

I've identified collaboration as one of the critical gaps that organizations must bridge to transform their data science success rates.

Data engineers, predictive modelers and machine learning professionals need good storytelling skills in addition to technical expertise.

Pedro Morales-Almazan leads a new data science project that will provide professional development and facilitate cross-discipline collaborations.

For example, one of his company’s early data science projects created size profiles, which could determine the range of sizes and distribution necessary to meet demand.

A significant percentage of data science projects continue to fail. With the rise of artificial intelligence, we are witnessing similar failures and growing concerns about the return on investment ...

“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 ...

Already using NumPy, Pandas, and Scikit-learn? Here are five more powerful Python data science tools that deserve a place in your toolkit.

EDITORIAL 02 October 2024 Use citizen science to turbocharge big-data projects Volunteers played a key part in validating a gigantic neuroscience study mapping the fruit-fly brain.

“Best Practices for Managing Data Annotation Projects” is a practical guide to the planning, execution & evaluation of annotation used in AI/ML initiatives.