The science of data: educational course. Shkien S. S.

In order to understand the world, it is necessary to collect and analyze data about it. The unification of the latest technological trends provides new opportunities for applying data analysis to more complex tasks than ever before. The capacity of computer storages increases exponally; Data storage has now become so cheap that it is almost impossible to forget anything to computer systems. Sensory devices are increasingly wider and wider that can be observed for: video flows, actions on social networks and the location of everything that moves. The network computing environment allows you to use huge amounts of machines for manipulating these data. Every time you search for Google, hundreds of computers are involved, carefully exploring all your previous actions, only to decide which advertising is the best for you to demonstrate. The result of all this was the birth of the science of data - the new area devoted to maximizing the significance of extensive collections of information. As a discipline, the science of data is somewhere at the intersection of statistics, computer science and machine learning, but it costs separately as an independent character. This book serves as an introduction to the science of data, focusing on the skills and principles necessary for building systems intended for analysis and interpretation of data.