We look at backup testing – why you should do it, what you should do, when you should do it, and how, with a view to the ways in which it will be made easier by forthcoming developments in ...

Hypothesis testing is a procedure for evaluating the strength of a hypothesis. The methodology depends on the data and the reason for the analysis.

Key Points Normality refers to how your data fits into a normal distribution. You can find out if your data is uniform by conducting a normality test. Normality tests are a fast way of determining ...

When it comes to the privacy of the intimate DNA data you share with them, direct-to-consumer (DTC) genetic testing companies make promises such as, “your privacy comes first,” and ...

The use of a virtual data fabric in general has many potential benefits for cyber testing for most organizations that face similar shortcomings.

Our understanding of progress in machine learning has been colored by flawed testing data. The 10 most cited AI data sets are riddled with label errors, according to a new study out of MIT, and it ...