Times have changed, and so has the math people use in everyday life ... Over the last 50 years, statistics and data science have become an integral part of the United Kingdom curriculum.

But now, math and science professionals are beginning to question how helpful current high school calculus courses really are for advanced science fields. The ubiquitous use of data in everything ...

and how it's related to the future of graph databases, as well as revisit interesting developments in Neptune's support for machine learning and data science. Developers can now use openCypher ...

Sometimes, you can enter into a technology too early. The groundwork for semantics was laid down in the late 1990s and early 2000s, with Tim Berners-Lee's stellar Semantic Web article, debuting in ...

That’s the idea behind “slow reveal graphs ... data are chosen, measured, and analyzed. While data visualizations are one of the most common formats for statistics education, studies find math ...

You will review the foundational mathematics that are critical in data science. Topics include algebra, calculus, linear algebra, and some pertinent numerical analysis. This specialization is also an ...

Remember sitting through high school math class while the teacher droned on about polynomial equations and thinking there wasn't a chance you'd ever use ... graphs below are based on survey data ...

I write about the broad intersection of data and society. One of the most powerful ways through which we convey the results of data science ... edges were used to form a new graph.