A data science model is a statistical black box; testing it requires an understanding of mathematical techniques like algorithms, randomness, and statistics. To validate data science models you ...

Data analytics is a discipline focused on extracting insights from data, ... Analytics has helped the company reduce the testing time for any given new material from 10 days to about two hours.

Hypothesis testing relies exclusively on data and doesn’t provide a comprehensive understanding of the subject being studied. Additionally, the accuracy of the results depends on the quality of ...

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 ...

Data migration testing ensures that all your data sets and system integrity are maintained when they’re transferred to a different host. Depending on the size of your organization and the work ...