Understanding Information: From the Big Bang to Big DataКНИГИ » ОС И БД
Название: Understanding Information: From the Big Bang to Big Data Автор: Alfons Josef Schuster Издательство: Springer Год: 2017 Формат: PDF Размер: 3 Мб Язык: английский / English
The motivation of this edited book is to generate an understanding about information, related concepts and the roles they play in the modern, technology permeated world. In order to achieve our goal, we observe how information is understood in domains, such as cosmology, physics, biology, neuroscience, computer science, artificial intelligence, the Internet, big data, information society, or philosophy. Together, these observations form an integrated view so that readers can better understand this exciting building-block of modern-day society.
On the surface, information is a relatively straightforward and intuitive concept. Underneath, however, information is a relatively versatile and mysterious entity. For instance, the way a physicist looks at information is not necessarily the same way as that of a biologist, a neuroscientist, a computer scientist, or a philosopher. Actually, when it comes to information, it is common that each field has its domain specific views, motivations, interpretations, definitions, methods, technologies, and challenges.
With contributions by authors from a wide range of backgrounds, Understanding Information: From the Big Bang to Big Data will appeal to readers interested in the impact of ‘information’ on modern-day life from a variety of perspectives.
Data Science in Practice (Studies in Big Data) Название: Data Science in Practice (Studies in Big Data) Автор: Alan Said Издательство: Springer Год: 2018 Страниц: 195 Формат: PDF, EPUB Размер: 10...
Навигация
Вход на сайт
Реклама
Understanding Information: From the Big Bang to Big Data 
