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 Ioannis Pavlidis - InTech
This book covers modeling and practical realization of robotic control, the problems of stability and robustness, automation in algorithm and program developments, system's applied control, computations, control theory application, etc.
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RDF and Linked Data have broad applicability across many fields. Requirements for detecting bad data differ across tasks, but nearly all involve some form of data validation. This book introduces data validation and describes its practical use.
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