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

Machine learning’s impact on technology is significant, but it’s crucial to acknowledge the common issues of insufficient training and testing data.

Planning for data migration? This guide will help you take the right steps to make sure everything runs smoothly.

Where real data is unethical, unavailable, or doesn’t exist, synthetic data sets can provide the needed quantity and variety.

Instead, data analysts are pressed into service as the testing corps to approve the solution’s implementation. Unlike testers who seem able to understand only the functionality of their application ...

We run the rule over what’s involved in backup testing in virtual and physical server environments, how often you should test and the key pitfalls to avoid.

Millions of people have sent swabs of their DNA to consumer testing services to find out about their genetic heritage, but just how secure is that information?