Introduction to Data Science
by Jeffrey Stanton
Number of pages: 196
This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science. For more technical readers, the book provides explanations and code for a range of interesting applications using the open source R language for statistical computing and graphics.
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by Jeroen Janssens - O'Reilly Media
This guide demonstrates how the flexibility of the command line can help you become a more productive data scientist. You'll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data.
by W. Glänzel
Bibliometrics has become a standard tool of science policy and research management in the last decades. All significant compilations of science indicators heavily rely on publication and citation statistics and other bibliometric techniques.
by Gang Wu - InTech
Web 3.0 will be built on semantic Web technologies, which will allow data to be shared and reused. This book explains examines how this powerful new technology can unify and fully leverage the ever-growing data, information, and Internet services.
by Roy Tennant - Reed Press
The author delivers expert guidance on the digital implications of building collections; cataloging and classification; acquisition and digitization of materials; access; public service; organization and staffing; technology and infrastructure; etc.