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.
Download or read it online for free here:
by David Novak - The Spire Project
In this book, we shall gather a collection of search techniques that extend our ability to collect and appreciate internet information. This will include the use of field searches, an understanding of the influences of context, format and source.
by Maria Keet
This first general textbook has as main aim to provide the reader with a comprehensive introductory overview of ontology engineering. A secondary aim is to provide hands-on experience in ontology development that illustrate the theory.
by Ciza Thomas (ed.) - InTech
This book provides researchers in the field of ontology and information science an opportunity to share their results. It also includes the design aspects of domain ontologies considering the architecture, development strategy and selection of tools.
by Jose E. Labra Gayo, et al. - Morgan & Claypool
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.