-The first three chapters of the book deal with the design of wireless networks, including UMTS and Ad-Hoc networks.
-Chapters 4-6 deal with the optimal design of telecommunications networks. Techniques used for network design range from genetic algorithms to combinatorial optimization heuristics.
-Chapters 7-10 analyze traffic flow in telecommunications networks, focusing on optimizing traffic load distribution and the scheduling of switches under multi-media streams and heavy traffic.
-Chapters 11-14 deal with telecommunications network management, examining bandwidth provisioning, admission control, queue management, dynamic routing, and feedback regulation in order to ensure that the network performance is optimized.
-Chapters 15-16 deal with the construction of topologies and allocation of bandwidth to ensure quality-of-service.
Linux Pocket Guide provides an organized learning path to help you gain mastery of the most useful and important commands. Whether you’re a novice who needs to get up to speed on Linux or an experienced user who wants a concise and functional reference, this guide provides quick answers.
Selected topics include:The filesystem and shellFile creation and editingText manipulation and pipelinesBackups and remote storageViewing and controlling processesUser account managementBecoming the superuserNetwork connectionsAudio and videoInstalling softwareProgramming with shell scripts
Companion website: https://sites.google.com/view/real-options
Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates