Network Models for Data Science

Discover the fascinating world of complex networks with Network Models for Data Science by Alan Julian Izenman, published by Cambridge University Press in 2023. This comprehensive hardback edition spans 550 pages, making it an essential resource for graduate students in statistics, data science, computer science, machine learning, and mathematics.

This insightful book delves into the theory of complex networks, offering modern analytical methods and addressing computational challenges. Readers will explore a wide range of applications across various fields, including technology, finance, social sciences, computational biology, physics, and engineering. Whether you're looking to enhance your understanding of network theory or apply these concepts in real-world scenarios, this book is an invaluable addition to your academic library.