Items related to Network Models for Data Science: Theory, Algorithms,...
- PublisherCambridge University Press
- Publication date2023
- ISBN 10 1108835767
- ISBN 13 9781108835763
- BindingHardcover
- LanguageEnglish
- Number of pages550
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Network Models for Data Science: Theory, Algorithms, and Applications
Published by
Cambridge University Press, 2023
ISBN 10: 1108835767
ISBN 13: 9781108835763
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Network Models for Data Science : Theory, Algorithms, and Applications
Published by
Cambridge University Press, 2023
ISBN 10: 1108835767
ISBN 13: 9781108835763
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Network Models for Data Science : Theory, Algorithms, and Applications
Published by
Cambridge University Press, 2023
ISBN 10: 1108835767
ISBN 13: 9781108835763
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Hardcover
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Network Models for Data Science
Published by
Cambridge University Press, 2023
ISBN 10: 1108835767
ISBN 13: 9781108835763
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Network Models for Data Science: Theory, Algorithms, and Applications
Published by
Cambridge University Press, 2023
ISBN 10: 1108835767
ISBN 13: 9781108835763
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Network Models for Data Science (Hardcover)
Published by
Cambridge University Press, Cambridge, 2023
ISBN 10: 1108835767
ISBN 13: 9781108835763
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Hardcover. Condition: new. Hardcover. This text on the theory and applications of network science is aimed at beginning graduate students in statistics, data science, computer science, machine learning, and mathematics, as well as advanced students in business, computational biology, physics, social science, and engineering working with large, complex relational data sets. It provides an exciting array of analysis tools, including probability models, graph theory, and computational algorithms, exposing students to ways of thinking about types of data that are different from typical statistical data. Concepts are demonstrated in the context of real applications, such as relationships between financial institutions, between genes or proteins, between neurons in the brain, and between terrorist groups. Methods and models described in detail include random graph models, percolation processes, methods for sampling from huge networks, network partitioning, and community detection. In addition to static networks the book introduces dynamic networks such as epidemics, where time is an important component. This book for graduate students in statistics, data science, computer science, machine learning, and mathematics explores the theory of complex networks, modern analysis methods, and computational issues. Applications range from technology and information to finance to social science to computational biology, physics, and engineering. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781108835763
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Network Models for Data Science
Published by
Cambridge University Press, 2023
ISBN 10: 1108835767
ISBN 13: 9781108835763
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Network Models for Data Science: Theory, Algorithms, and Applications
Published by
Cambridge University Press, 2023
ISBN 10: 1108835767
ISBN 13: 9781108835763
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Hardcover. Condition: Brand New. 484 pages. 10.00x7.00x1.25 inches. In Stock. Seller Inventory # __1108835767
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Network Models for Data Science : Theory, Algorithms, and Applications
Published by
Cambridge University Press, 2023
ISBN 10: 1108835767
ISBN 13: 9781108835763
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Network Models for Data Science: Theory, Algorithms, and Applications
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ISBN 10: 1108835767
ISBN 13: 9781108835763
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