Knowledge Gap Series: The Myths Of Analytics

It may not be rocket science, but it is data science. Do you have your eye on machine learning or a nice neural network to help your security team make decisions faster? Be aware that there are quite a few myths circulating about how these work; even the language used can be confusing. Many new terms — and some familiar words –have different meanings in the world of statistical analytics. For example, “variable” means something significantly different to a programmer than to a statistician. And the capabilities of a statistician are different from those of a data scientist. Let’s start with building an analytical model. This does not happen quickly, because you need to capture enough data from your environment to give you a representative distribution. Roughly put, the distribution…


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