Dark data. Hand D.

Humanity has learned to collect, process and use huge arrays of data in science, business and everyday life. But what to do with data that we do not have? Is it permissible to ignore what we do not notice? British statistics David Hand believes that it is at least short -sighted, and sometimes extremely dangerous. In his book, he identifies 15 influencing our solutions and the actions of the types of data that remain in the shadows. For example, we are talking about taking into account the disaster signals that the inhabitants of the poor areas could submit, if they had smartphones, the results of a medical study that intentionally concealed either accidentally distorted, or data that became “dark” due to a poor set of criteria for turning on In the sample. Cord also talks about what measures can smooth out the “dark data” effect and how they can be beneficial. The book will be interesting to a wide circle of readers interested in the Date-Saine, programming and statistics.