Forbes contributors publish independent expert analyses and insights. I write about the broad intersection of data and society. The data-driven revolution is prefaced upon the idea that data and ...

One fact about machine learning and data algorithms that may surprise business users is that there aren’t actually that many of them. This topic can get overwhelming for busy professionals. But in ...

As computing power has increased and data science has expanded into nearly every area of our lives, we have entered the age of the algorithm. While our personal and professional data is being compiled ...

We know how cities move, but policy and organizational changes are needed before algorithms can actually improve mobility.

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, ...

The age of Big Data has generated new tools and ideas on an enormous scale, with applications spreading from marketing to Wall Street, human resources, college admissions, and insurance. At the same ...

Using Big Data for Good Requires Testing, Transparency, Precision, and Due Diligence Big data can help drive decisions in almost every aspect of our lives—from the way financial products are ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...

How to recognize and use array and list data structures in your Java programs. Which algorithms work best with different types of array and list data structures. Why some algorithms will work better ...

Business leaders and social scientists know: bad data in, bad data out. As the country struggles with demands for systemic change in policing, would-be reformers are suggesting that "data-driven ...