Anybody paying attention to big data has probably run across a certain powerful and exciting observation that’s often made: the one about how today’s vast ocean of diverse and multi-structured data ...

Normality testing is a fundamental component in statistical analysis, central to validating many inferential techniques that presume Gaussian behaviour of error terms ...

This is a preview. Log in through your library . Abstract Statistical tests on data from black bear (Ursus americanus) research often have low power because of limited sample sizes and sometimes ...

First of two parts. (Read Part 2: "Deconstructing Security Assumptions to Ensure Future Resilience.") The most devastating security failures often are the ones that we can't imagine — until they ...

A simple rule of thumb: In general, AI is best reserved for well-defined, repetitive tasks. This includes anything that ...

We have about 350 students in the Accelerator, which is leveled, Explore, Pursue, Launch and Grow. Most students are in the Explore phase, where they are testing assumptions, and trying to assess the ...

As a founder who built an Inc. 500 company and coached dozens of teams on innovation strategy, I’ve learned that the biggest innovation failures come from false confidence in customer understanding, ...

Booktopia has always known that data is a valuable business asset. But in the early days the company was using very little, if any, of the data at its disposal. A data-informed approach has ...

Students across the nation are taking tests that are redundant, misaligned with college- and career-ready standards, and often don't address students' mastery of specific content, according to a ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...