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 Howard Besser - Getty Research Institute
The book allows curators, librarians, collection managers, students to better understand the processes involved in building a cohesive set of digital images. It also explores how to link digitized images to the information required to manage them.
by Dhana Nandini - Bookboon
This book is intended for engineering students who are interested in exploring the technology of Semantic web. The book simplifies the tough concepts associated with Semantic web and can be considered as the base of the knowledge about Web 3.0.
Contents: Diploma ICTL; Advanced Diploma ICTL; Locating Information; Supporting Reader Development; Supporting Client Learning; Using ICT in Professional Practice; Safe and Legal Use of ICT; Net Navigator; Educator; Digital Culture - Online ...
by Mary-Jo Kline, Susan Holbrook Perdue - University of Virginia Press
In addition to exploring the role electronic technology plays in the editing process, this edition provides the most current treatment of the craft's fundamental issues. These include locating and collecting sources, transcribing source texts, etc.