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Presents the commonly needed techniques for working with population statistics, irrespective of the reader's mathematical background. This book provides concepts and... Læs mere
Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles.
The text explains the model-based method of intelligence analysis that represents the analyst's mental models of a... Læs mere
This book presents an accessible introduction to data-driven storytelling. Resulting from unique discussions between data visualization researchers and data journalists it... Læs mere
The surprising--and terrifying--story of how math and stats work in the real world.
This textbook provides and introduction to numerical computing and its applications in science and engineering. The essential role of the... Læs mere
This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures.
This book explains data quality management in practical terms, focusing on three key areas - the nature of data in enterprises, the purpose and scope of data quality management, and implementing a data quality management system, in line with ISO 8000-61.
The book provides a comprehensive overview on information visualization and visual exploration. The top-down view on the problem illustrated with numerous examples based... Læs mere
An accessible primer on how to create effective graphics from dataThis book provides students and researchers a hands-on introduction to the principles and... Læs mere
Readers will learn the essentials of spatial data handling using the open source software QGIS and be guided... Læs mere