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This new second edition demystifies the concepts of spatial data accuracy and provides mathematical clarity to issues of... Læs mere
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This book is a collection of invited contributions from leading researchers in machine learning. Comprised of 21 chapters, this... Læs mere
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
Offering insights into the scope of data mining initiatives, this text examines their socio-economic and legal implications to stakeholders, organizations and society.
Bemærk: Kan ikke leveres før jul.
Exploring the computational background of ontologies, this self-contained text helps readers understand ontological algorithms and their applications. It describes a host... Læs mere
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Internet of Things (IoT) is expanding at a rapid rate and it is becoming increasingly important for professionals to understand what it is, how it... Læs mere
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This book explores the concepts and role of green computing and its recent developments for making the environment sustainable. It focuses on green... Læs mere
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Fundamentals of Data Science is designed for students, academicians and practitioners with a complete walkthrough right from the foundational groundwork required to outlining all the concepts, techniques and tools required to understand Data Science.
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Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to... Læs mere
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Edited by two of the leading experts in the field, this book provides a comprehensive reference book on feature engineering. The book provides a description of problems and applications for feature engineering, as well as its techniques, principles, issues, and challenges.