Data Science at the Command Line
by Jeroen Janssens
Publisher: O'Reilly Media 2018
Number of pages: 219
This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data.
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by Dennis Hart, Shirley Gregor - ANU E Press
This is a book on Information Systems as an academic discipline. The emphasis was on the adequacy and completeness of theoretical underpinnings and the research methods employed. The practical nature of the applications were kept firmly in view.
by Susanne R. Warren (ed.) - Oxford University Press
The book guides the novice to an understanding of archival information and documentation. It covers the characteristics of archival materials, analysis of information for archival description, descriptive tools in information systems, etc.
by Michael R. Berthold (ed.) - Springer
The focus of this book, and the BISON project from which the contributions are originating, is a network based integration of various types of data repositories and the development of new ways to explore the resulting gigantic information networks.
by Jeffrey Stanton
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 interesting applications using the R language for statistics and graphics.