Machine learning has found many applications in network contexts. These include solving optimisation problems and managing network operations. Conversely, networks are essential …

Jul 1, 2023 · This special issue explores how emerging machine learning (ML) and artificial intelligence (AI) algorithms can help computer networks become smarter.

Computer networking is important in the area of data science. It does the sharing of resources, communication, and access to information among computers and other devices. Networks …

Jun 13, 2024 · Exercises using real-world data extend and deepen your understanding, and develop effective working patterns in network calculations and analysis. Suitable for both …

Dec 4, 2024 · Graph theory and network analysis are essential tools in data science, enabling us to uncover patterns, predict outcomes, and make informed decisions. From social networks to …

Apr 21, 2021 · This article presents a primer/overview of applications of Artificial Intelligence and Machine Learning (AI/ML) techniques to address problems in the domain of computer …

Feb 5, 2020 · Describes a wide range of modern methods for analysing complex networks, including measures for comparing huge networks and methods for analysing social and …

Nov 21, 2022 · Machine learning (ML) has become the de-facto approach for various scientific domains such as computer vision and natural language processing. Despite recent …

Sep 15, 2016 · This book provides a comprehensive yet short description of the basic concepts of complex network theory and the code to implement this theory. Differently from other books, …

Examine our series, books and journals in the field of Data Science and Networks. Ronaldo Menezes Editor-in-Chief of our jour nal "Applied Network Science". He is a Professor of Data …