Network Models for Data Science

Language: English

Published by Cambridge University Press, 2023

1108835767 / 9781108835763

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - 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.…

Seller Inventory # 9781108835763

Title
Network Models for Data Science
Author
Alan Julian Izenman
Publisher
Cambridge University Press
Publication year
2023
Condition
Neu
Binding
Buch
Language
English
ISBN 10
1108835767
ISBN 13
9781108835763
Item weight
1,130 grams
Dimensions
260x183x31 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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