The study of networks, including computer networks, social networks, and biological networks, has attracted enormous interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on an unprecedented scale, and the development of new theoretical tools has allowed us to extract knowledge from networks of many different kinds. The study of networks is broadly interdisciplinary and central developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas. Topics covered include the measurement of networks; methods for analyzing network data, including methods developed in physics, statistics, and sociology; fundamentals of graph theory; computer algorithms; mathematical models of networks, including random graph models and generative models; and theories of dynamical processes taking place on networks. 包括计算机网络，社交网络和生物网络在内的网络研究在过去几年引起了极大的兴趣。互联网的兴起和廉价计算机的广泛应用使得以前所未有的规模收集和分析网络数据成为可能，新理论工具的开发使我们能够从多种不同类型的网络中提取知识。网络研究具有广泛的跨学科性，在许多领域都有发展，包括数学，物理，计算机和信息科学，生物学和社会科学。本书汇集了这些领域中最重要的突破，并以连贯的方式呈现，凸显了不同领域工作之间的紧密联系。 涵盖的主题包括网络测量;分析网络数据的方法，包括在物理学，统计学和社会学中开发的方法;图论的基本原理;计算机算法;网络的数学模型，包括随机图模型和生成模型;和网络上发生的动态过程理论。

神经网络与机器学习 在matlab中实现 英文原版 书中含有代码 指的参考

Master the technical skills and industry know-how to begin an exciting career installing, configuring, and troubleshooting computer networks with the completely updated NETWORK+ GUIDE TO NETWORKS, 7E. You can prepare for success on CompTIA's Network+ N10-006 certification exam with fully mapped coverage of all objectives, including protocols, topologies, hardware, network design, and troubleshooting. This edition addresses today's latest technology with new features that make essential information easily accessible and help you visualize high-level concepts. New OSI layer icons visually link concepts and the OSI model. New and updated "On the Job" stories, Applying Concepts activities, Hands-On and Case Projects let you explore concepts in more depth. The NETWORK+ GUIDE TO NETWORKS, 7E's emphasis on real-world problem solving provides the tools you need to succeed in any computing environment.

内容为时下最火热的神经网络和深度学习，该教程来源于美国Michael Nielsen的个人网站，他致力于把神经网络与深度学习的高深知识以浅显易懂的方式讲解出来，成为众多大牛推荐的必读网络资源之一。国内有识之士把其翻译成中文，方便了广大读者。是不可多得的优质资料！

计算机网络教材：Morgan Kaufmann Publishers - Routing, Flow and Capacity Design in Communication and Computer Networks.pdf

This book is for data scientists, machine learning (ML) developers, and deep learning practitioners looking for a quick reference to tackle challenges and tasks in the GAN domain. Familiarity with machine learning concepts and a working knowledge of the Python programming language will help you get the most out of the book.

802.11无线网络权威指南(第二版全文字非扫描)英文原版

Learning Generative Adversarial Networks 英文epub 本资源转载自网络，如有侵权，请联系上传者或csdn删除 本资源转载自网络，如有侵权，请联系上传者或csdn删除

barabasi的经典书籍 network science 共10章 BA网络和各种改进 网络健壮性

Stochastic Geometry for Wireless Networks ，带详细书签, 作者 Martin Haenggi 友情奉上 :)