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 ...

AI’s biggest constraint isn’t algorithms anymore. It’s data…specifically, high-quality, forward-looking data. It is the “Rare ...

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, ...

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 ...

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 ...

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 ...

Data science is an essential field within computer science and machine learning that uses statistics, algorithms, and technology to make meaningful analysis and predictions from large amounts of data.

We reviewed in an earlier article Daniel Kahnemann's Prospect Theory, his latest book quot;Thinking Fast and Slowquot; and some of the key findings of Behavioural Finance and we'll be discussing a ...

Bipartisan Ohio lawmakers are reviving an effort to regulate pricing algorithms, software that often uses artificial ...

The Foundations of Data Structures and Algorithms specialization includes two optional preparation courses and a three-course pathway to earn admission to the Online MS in Computer Science. You must ...