Did you know that over 80% of AI projects fail? That's twice the failure rate of regular IT projects. A Gartner survey found that only 48% of AI projects make it to production, and it typically takes ...

When Eric Weber, professor and chair of mathematics at Iowa State University, talks about data science with future math ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...

This paper, compiled by Prof. Huadong Guo and his team, discusses the potential and utility of Big Earth Data through a number of case studies to support the 2030 Agenda for Sustainable Development.

The Data Mine Corporate Partners Symposium gives students the chance to showcase over 90 applied projects with 68 industry corporate partners through an interactive poster session. This year’s event ...

Chief Data Scientist at Reorg, a global provider of credit intelligence, data and analytics, and Adjunct at UVA’s School of Data Science. Text data is one of the largest forms of unstructured data and ...

What makes the SLU health data science program unique? SLU's health data science program provides strong training in data collection, data cleaning and preprocessing, statistical analysis, and ...

"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, ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...