Name: Network Models for Data Science: Theory, Algorithms, and Applications (en Inglés)
SKU: 54174228
Price: 108.58 USD
Availability: InStock
Author: Izenman, Alan Julian
ISBN: 9781108835763

portada Network Models for Data Science: Theory, Algorithms, and Applications (en Inglés)

Network Models for Data Science: Theory, Algorithms, and Applications (en Inglés)

Formato

Libro Físico

Autor

Alan Julian Izenman

Editorial

Cambridge University Press

Año

2022

Idioma

Inglés

N° páginas

550

Encuadernación

Tapa Dura

Dimensiones

24.8x17x1.6 cm

Peso

1.16 kg.

ISBN13

9781108835763

Categorías

Probabilidad y estadística

Network Models for Data Science: Theory, Algorithms, and Applications (en Inglés)

Alan Julian Izenman (Autor) · Cambridge University Press · Tapa Dura

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Reseña del libro "Network Models for Data Science: Theory, Algorithms, and Applications (en Inglés)"

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.