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Hidden in White Sight How AI Empowers and Deepens Systemic Racism

Hidden in White Sight How AI Empowers and Deepens Systemic Racism

Artificial Intelligence was meant to be the great social equalizer that helps promote fairness by removing human bias from the equation but is this true? Given that the policing and judicial systems can display human bias this book explores how the technology they use can also reflect these prejudices. From healthcare services to social scoring in exams to applying for and getting loans AI outcomes often restrict those most in need of these services. Through personal stories from an esteemed Black Data Scientist and AI expert this book attempts to demystify the algorithmic black box. AI pervades all aspects of modern society and affects everyone within it yet its internal biases are rarely confronted. This book advises readers on what they can do to fight against it including the introduction of a proposed AI Bill of Rights whilst also providing specific recommendations for AI developers and technologists. https://hiddeninwhitesight. com/ | Hidden in White Sight How AI Empowers and Deepens Systemic Racism

GBP 22.99
1

Stock Market Volatility

Stock Market Volatility

Up-to-Date Research Sheds New Light on This Area Taking into account the ongoing worldwide financial crisis Stock Market Volatility provides insight to better understand volatility in various stock markets. This timely volume is one of the first to draw on a range of international authorities who offer their expertise on market volatility in developed emerging and frontier economies. The expert contributors cover stock market volatility modeling portfolio management hedge fund volatility and volatility in developed countries and emerging markets. They present some of the vocational aspects emphasizing the equity markets. The book approaches the material from the practitioner’s viewpoint and familiarizes readers with how volatility is linked to speculation trading volume and information arrival. It also discusses recent trends in forecasting volatility along with the newly cultivated trading platform of volatility derivatives. Given the current state of high levels of volatility in global stock markets money managers financial institutions investment banks financial analysts and others need to improve their understanding of volatility. Examining key aspects of stock market volatility this comprehensive reference offers novel suggestions for accurately assessing the field.

GBP 69.99
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Sequence Space Theory with Applications

Sequence Space Theory with Applications

The book features original chapters on sequence spaces involving the idea of ideal convergence modulus function multiplier sequences Riesz mean Fibonacci difference matrix etc. and illustrate their involvement in various applications. The preliminaries have been presented in the beginning of each chapter and then the advanced discussion takes place so it is useful for both expert and nonexpert on aforesaid topics. The book consists of original thirteen research chapters contributed by the well-recognized researchers in the field of sequence spaces with associated applications. Features Discusses the Fibonacci and vector valued difference sequence spaces Presents the solution of Volterra integral equation in Banach algebra Discusses some sequence spaces involving invariant mean and related to the domain of Jordan totient matrix Presents the Tauberian theorems of double sequences Discusses the paranormed Riesz difference sequence space of fractional order Includes a technique for studying the existence of solutions of infinite system of functional integro-differential equations in Banach sequence spaces The subject of book is an active area of research of present time internationally and would serve as a good source for researcher and educators involved with the topic of sequence spaces. | Sequence Space Theory with Applications

GBP 150.00
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Meta-analysis and Combining Information in Genetics and Genomics

Meta-analysis and Combining Information in Genetics and Genomics

Novel Techniques for Analyzing and Combining Data from Modern Biological StudiesBroadens the Traditional Definition of Meta-Analysis With the diversity of data and meta-data now available there is increased interest in analyzing multiple studies beyond statistical approaches of formal meta-analysis. Covering an extensive range of quantitative information combination methods Meta-analysis and Combining Information in Genetics and Genomics looks at how to analyze multiple studies from a broad perspective. After presenting the basic ideas and tools of meta-analysis the book addresses the combination of similar data types: genotype data from genome-wide linkage scans and data derived from microarray gene expression experiments. The expert contributors show how some data combination problems can arise even within the same basic framework and offer solutions to these problems. They also discuss the combined analysis of different data types giving readers an opportunity to see data combination approaches in action across a wide variety of genome-scale investigations. As heterogeneous data sets become more common biological understanding will be significantly aided by jointly analyzing such data using fundamentally sound statistical methodology. This book provides many novel techniques for analyzing data from modern biological studies that involve multiple data sets either of the same type or multiple data sources.

GBP 69.99
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Textbook of Clinical Trials in Oncology A Statistical Perspective

Textbook of Clinical Trials in Oncology A Statistical Perspective

There is an increasing need for educational resources for statisticians and investigators. Reflecting this the goal of this book is to provide readers with a sound foundation in the statistical design conduct and analysis of clinical trials. Furthermore it is intended as a guide for statisticians and investigators with minimal clinical trial experience who are interested in pursuing a career in this area. The advancement in genetic and molecular technologies have revolutionized drug development. In recent years clinical trials have become increasingly sophisticated as they incorporate genomic studies and efficient designs (such as basket and umbrella trials) have permeated the field. This book offers the requisite background and expert guidance for the innovative statistical design and analysis of clinical trials in oncology. Key Features:Cutting-edge topics with appropriate technical backgroundBuilt around case studies which give the work a hands-on approachReal examples of flaws in previously reported clinical trials and how to avoid them Access to statistical code on the book’s websiteChapters written by internationally recognized statisticians from academia and pharmaceutical companiesCarefully edited to ensure consistency in style level and approachTopics covered include innovating phase I and II designs trials in immune-oncology and rare diseases among many others | Textbook of Clinical Trials in Oncology A Statistical Perspective

GBP 48.99
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Doing Meta-Analysis with R A Hands-On Guide

Doing Meta-Analysis with R A Hands-On Guide

Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered including calculation and pooling of outcome measures forest plots heterogeneity diagnostics subgroup analyses meta-regression methods to control for publication bias risk of bias assessments and plotting tools. Advanced but highly relevant topics such as network meta-analysis multi-three-level meta-analyses Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package dmetar is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. The programming and statistical background covered in the book are kept at a non-expert level making the book widely accessible. Features• Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data including exercises• Describes statistical concepts clearly and concisely before applying them in R• Includes step-by-step guidance through the coding required to perform meta-analyses and a companion R package for the book | Doing Meta-Analysis with R A Hands-On Guide

GBP 74.99
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The Navier-Stokes Problem in the 21st Century

The Navier-Stokes Problem in the 21st Century

Praise for the first edition “The author is an outstanding expert in harmonic analysis who has made important contributions. The book contains rigorous proofs of a number of the latest results in the field. I strongly recommend the book to postgraduate students and researchers working on challenging problems of harmonic analysis and mathematical theory of Navier-Stokes equations. —Gregory Seregin St Hildas College Oxford University “This is a great book on the mathematical aspects of the fundamental equations of hydrodynamics the incompressible Navier-Stokes equations. It covers many important topics and recent results and gives the reader a very good idea about where the theory stands at present. ”—Vladimir Sverak University of Minnesota The complete resolution of the Navier–Stokes equation—one of the Clay Millennium Prize Problems—remains an important open challenge in partial differential equations (PDEs) research despite substantial studies on turbulence and three-dimensional fluids. The Navier–Stokes Problem in the 21st Century Second Edition continues to provide a self-contained guide to the role of harmonic analysis in the PDEs of fluid mechanics now revised to include fresh examples theorems results and references that have become relevant since the first edition published in 2016. | The Navier-Stokes Problem in the 21st Century

GBP 99.99
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Bioinformatics A Practical Approach

Bioinformatics A Practical Approach

An emerging ever-evolving branch of science bioinformatics has paved the way for the explosive growth in the distribution of biological information to a variety of biological databases including the National Center for Biotechnology Information. For growth to continue in this field biologists must obtain basic computer skills while computer specialists must possess a fundamental understanding of biological problems. Bridging the gap between biology and computer science Bioinformatics: A Practical Approach assimilates current bioinformatics knowledge and tools relevant to the omics age into one cohesive concise and self-contained volume. Written by expert contributors from around the world this practical book presents the most state-of-the-art bioinformatics applications. The first part focuses on genome analysis common DNA analysis tools phylogenetics analysis and SNP and haplotype analysis. After chapters on microarray SAGE regulation of gene expression miRNA and siRNA the book presents widely applied programs and tools in proteome analysis protein sequences protein functions and functional annotation of proteins in murine models. The last part introduces the programming languages used in biology website and database design and the interchange of data between Microsoft Excel and Access. Keeping complex mathematical deductions and jargon to a minimum this accessible book offers both the theoretical underpinnings and practical applications of bioinformatics. | Bioinformatics A Practical Approach

GBP 59.99
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Grothendieck Construction of Bipermutative-Indexed Categories

Grothendieck Construction of Bipermutative-Indexed Categories

The Grothendieck construction provides an explicit link between indexed categories and opfibrations. It is a fundamental concept in category theory and related fields with far-reaching applications. Bipermutative categories are categorifications of rings. They play a central role in algebraic K-theory and infinite loop space theory. This monograph is a detailed study of the Grothendieck construction over a bipermutative category in the context of categorically enriched multicategories with new and important applications to inverse K-theory and pseudo symmetric E∞-algebras. After carefully recalling preliminaries in enriched categories bipermutative categories and enriched multicategories we show that the Grothendieck construction over a small tight bipermutative category is a pseudo symmetric Cat-multifunctor and generally not a Cat-multifunctor in the symmetric sense. Pseudo symmetry of Cat-multifunctors is a new concept we introduce in this work. The following features make it accessible as a graduate text or reference for experts: Complete definitions and proofs Self-contained background. Parts of Chapters 1–3 7 9 and 10 contain background material from the research literature Extensive cross-references Connections between chapters. Each chapter has its own introduction discussing not only the topics of that chapter but also its connection with other chapters Open questions. Appendix A contains open questions that arise from the material in the text and are suitable for graduate students This book is suitable for graduate students and researchers with an interest in category theory algebraic K-theory homotopy theory and related fields. The presentation is thorough and self-contained with complete details and background material for non-expert readers. | Grothendieck Construction of Bipermutative-Indexed Categories

GBP 110.00
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Rough Multiple Objective Decision Making

Rough Multiple Objective Decision Making

Under intense scrutiny for the last few decades Multiple Objective Decision Making (MODM) has been useful for dealing with the multiple-criteria decisions and planning problems associated with many important applications in fields including management science engineering design and transportation. Rough set theory has also proved to be an effective mathematical tool to counter the vague description of objects in fields such as artificial intelligence expert systems civil engineering medical data analysis data mining pattern recognition and decision theory. Rough Multiple Objective Decision Making is perhaps the first book to combine state-of-the-art application of rough set theory rough approximation techniques and MODM. It illustrates traditional techniques—and some that employ simulation-based intelligent algorithms—to solve a wide range of realistic problems. Application of rough theory can remedy two types of uncertainty (randomness and fuzziness) which present significant drawbacks to existing decision-making methods so the authors illustrate the use of rough sets to approximate the feasible set and they explore use of rough intervals to demonstrate relative coefficients and parameters involved in bi-level MODM. The book reviews relevant literature and introduces models for both random and fuzzy rough MODM applying proposed models and algorithms to problem solutions. Given the broad range of uses for decision making the authors offer background and guidance for rough approximation to real-world problems with case studies that focus on engineering applications including construction site layout planning water resource allocation and resource-constrained project scheduling. The text presents a general framework of rough MODM including basic theory models and algorithms as well as a proposed methodological system and discussion of future research.

GBP 74.99
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Demand Forecasting for Executives and Professionals

Demand Forecasting for Executives and Professionals

This book surveys what executives who make decisions based on forecasts and professionals responsible for forecasts should know about forecasting. It discusses how individuals and firms should think about forecasting and guidelines for good practices. It introduces readers to the subject of time series presents basic and advanced forecasting models from exponential smoothing across ARIMA to modern Machine Learning methods and examines human judgment's role in interpreting numbers and identifying forecasting errors and how it should be integrated into organizations. This is a great book to start learning about forecasting if you are new to the area or have some preliminary exposure to forecasting. Whether you are a practitioner either in a role managing a forecasting team or at operationally involved in demand planning a software designer a student or an academic teaching business analytics operational research or operations management courses the book can inspire you to rethink demand forecasting. No prior knowledge of higher mathematics statistics operations research or forecasting is assumed in this book. It is designed to serve as a first introduction to the non-expert who needs to be familiar with the broad outlines of forecasting without specializing in it. This may include a manager overseeing a forecasting group or a student enrolled in an MBA program an executive education course or programs not specialising in analytics. Worked examples accompany the key formulae to show how they can be implemented. Key Features: While there are many books about forecasting technique very few are published targeting managers. This book fills that gap. It provides the right balance between explaining the importance of demand forecasting and providing enough information to allow a busy manager to read a book and learn something that can be directly used in practice. It provides key takeaways that will help managers to make difference in their companies. | Demand Forecasting for Executives and Professionals

GBP 44.99
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Introduction to Data Science Data Analysis and Prediction Algorithms with R

Introduction to Data Science Data Analysis and Prediction Algorithms with R

Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability statistical inference linear regression and machine learning. It also helps you develop skills such as R programming data wrangling data visualization predictive algorithm building file organization with UNIX/Linux shell version control with Git and GitHub and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary although some experience with programming may be helpful. The book is divided into six parts: R data visualization statistics with R data wrangling machine learning and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state self-reported student heights trends in world health and economics the impact of vaccines on infectious disease rates the financial crisis of 2007-2008 election forecasting building a baseball team image processing of hand-written digits and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises you will be prepared to learn the more advanced concepts and skills needed to become an expert. A complete solutions manual is available to registered instructors who require the text for a course. | Introduction to Data Science Data Analysis and Prediction Algorithms with R

GBP 82.99
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Risks of Artificial Intelligence

Risks of Artificial Intelligence

If the intelligence of artificial systems were to surpass that of humans humanity would face significant risks. The time has come to consider these issues and this consideration must include progress in artificial intelligence (AI) as much as insights from AI theory. Featuring contributions from leading experts and thinkers in artificial intelligence Risks of Artificial Intelligence is the first volume of collected chapters dedicated to examining the risks of AI. The book evaluates predictions of the future of AI proposes ways to ensure that AI systems will be beneficial to humans and then critically evaluates such proposals. The book covers the latest research on the risks and future impacts of AI. It starts with an introduction to the problem of risk and the future of artificial intelligence followed by a discussion (Armstrong/Sokala/ÓhÉigeartaigh) on how predictions of its future have fared to date. Omohundro makes the point that even an innocuous artificial agent can easily turn into a serious threat for humans. T. Goertzel explains how to succeed in the design of artificial agents. But will these be a threat for humanity or a useful tool? Ways to assure beneficial outcomes through ‘machine ethics’ and ‘utility functions’ are discussed by Brundage and Yampolskiy. B. Goertzel and Potapov/Rodionov propose ‘learning’ and ‘empathy’ as paths towards safer AI while Kornai explains how the impact of AI may be bounded. Sandberg explains the implications of human-like AI via the technique of brain emulation. Dewey discusses strategies to deal with the ‘fast takeoff’ of artificial intelligence and finally Bishop explains why there is no need to worry because computers will remain in a state of ‘artificial stupidity’. Sharing insights from leading thinkers in artificial intelligence this book provides you with an expert-level perspective of what is on the horizon for AI whether it will be a threat for humanity and how we might counteract this threat.

GBP 44.99
1

The Garbage Collection Handbook The Art of Automatic Memory Management

The Garbage Collection Handbook The Art of Automatic Memory Management

Published in 1996 Richard Jones's Garbage Collection was a milestone in the area of automatic memory management. Its widely acclaimed successor The Garbage Collection Handbook: The Art of Automatic Memory Management captured the state of the field in 2012. Modern technology developments have made memory management more challenging interesting and important than ever. This second edition updates the handbook bringing together a wealth of knowledge gathered by automatic memory management researchers and developers over the past sixty years. The authors compare the most important approaches and state-of-the-art techniques in a single accessible framework. The book addresses new challenges to garbage collection made by recent advances in hardware and software. It explores the consequences of these changes for designers and implementers of high performance garbage collectors. Along with simple and traditional algorithms the book covers state-of-the-art parallel incremental concurrent and real-time garbage collection. Algorithms and concepts are often described with pseudocode and illustrations. Features of this edition Provides a complete up-to-date and authoritative sequel to the 1996 and 2012 books Offers thorough coverage of parallel concurrent and real-time garbage collection algorithms Discusses in detail modern high-performance commercial collectors Explains some of the trickier aspects of garbage collection including the interface to the run-time system Over 90 more pages including new chapters on persistence and energy-aware garbage collection Backed by a comprehensive online database of over 3 400 garbage collection-related publications The adoption of garbage collection by almost all modern programming languages makes a thorough understanding of this topic essential for any programmer. This authoritative handbook gives expert insight on how different collectors work as well as the various issues currently facing garbage collectors. Armed with this knowledge programmers can confidently select and configure the many choices of garbage collectors. http://gchandbook. org | The Garbage Collection Handbook The Art of Automatic Memory Management

GBP 59.99
1

Engineering Production-Grade Shiny Apps

Engineering Production-Grade Shiny Apps

From the Reviews [This book] contains an excellent blend of both Shiny-specific topics … and practical advice from software development that fits in nicely with Shiny apps. You will find many nuggets of wisdom sprinkled throughout these chapters…. Eric Nantz Host of the R-Podcast and the Shiny Developer Series (from the Foreword) [This] book is a gradual and pleasant invitation to the production-ready shiny apps world. It …exposes a comprehensive and robust workflow powered by the {golem} package. [It] fills the not yet covered gap between shiny app development and deployment in such a thrilling way that it may be read in one sitting…. In the industry world where processes robustness is a key toward productivity this book will indubitably have a tremendous impact. David Granjon Sr. Expert Data Science Novartis Presented in full color Engineering Production-Grade Shiny Apps helps people build production-grade shiny applications by providing advice tools and a methodology to work on web applications with R. This book starts with an overview of the challenges which arise from any big web application project: organizing work thinking about the user interface the challenges of teamwork and the production environment. Then it moves to a step-by-step methodology that goes from the idea to the end application. Each part of this process will cover in detail a series of tools and methods to use while building production-ready shiny applications. Finally the book will end with a series of approaches and advice about optimizations for production. Features Focused on practical matters: This book does not cover Shiny concepts but practical tools and methodologies to use for production. Based on experience: This book is a formalization of several years of experience building Shiny applications. Original content: This book presents new methodologies and tooling not just a review of what already exists. Engineering Production-Grade Shiny Apps covers medium to advanced content about Shiny so it will help people that are already familiar with building apps with Shiny and who want to go one step further.

GBP 48.99
1

Bayesian Networks With Examples in R

Bayesian Networks With Examples in R

Bayesian Networks: With Examples in R Second Edition introduces Bayesian networks using a hands-on approach. Simple yet meaningful examples illustrate each step of the modelling process and discuss side by side the underlying theory and its application using R code. The examples start from the simplest notions and gradually increase in complexity. In particular this new edition contains significant new material on topics from modern machine-learning practice: dynamic networks networks with heterogeneous variables and model validation. The first three chapters explain the whole process of Bayesian network modelling from structure learning to parameter learning to inference. These chapters cover discrete Gaussian and conditional Gaussian Bayesian networks. The following two chapters delve into dynamic networks (to model temporal data) and into networks including arbitrary random variables (using Stan). The book then gives a concise but rigorous treatment of the fundamentals of Bayesian networks and offers an introduction to causal Bayesian networks. It also presents an overview of R packages and other software implementing Bayesian networks. The final chapter evaluates two real-world examples: a landmark causal protein-signalling network published in Science and a probabilistic graphical model for predicting the composition of different body parts. Covering theoretical and practical aspects of Bayesian networks this book provides you with an introductory overview of the field. It gives you a clear practical understanding of the key points behind this modelling approach and at the same time it makes you familiar with the most relevant packages used to implement real-world analyses in R. The examples covered in the book span several application fields data-driven models and expert systems probabilistic and causal perspectives thus giving you a starting point to work in a variety of scenarios. Online supplementary materials include the data sets and the code used in the book which will all be made available from https://www. bnlearn. com/book-crc-2ed/ | Bayesian Networks With Examples in R

GBP 82.99
1

Introduction to Modeling and Simulation with MATLAB and Python

Introduction to Modeling and Simulation with MATLAB and Python

Introduction to Modeling and Simulation with MATLAB and Python is intended for students and professionals in science social science and engineering that wish to learn the principles of computer modeling as well as basic programming skills. The book content focuses on meeting a set of basic modeling and simulation competencies that were developed as part of several National Science Foundation grants. Even though computer science students are much more expert programmers they are not often given the opportunity to see how those skills are being applied to solve complex science and engineering problems and may also not be aware of the libraries used by scientists to create those models. The book interleaves chapters on modeling concepts and related exercises with programming concepts and exercises. The authors start with an introduction to modeling and its importance to current practices in the sciences and engineering. They introduce each of the programming environments and the syntax used to represent variables and compute mathematical equations and functions. As students gain more programming expertise the authors return to modeling concepts providing starting code for a variety of exercises where students add additional code to solve the problem and provide an analysis of the outcomes. In this way the book builds both modeling and programming expertise with a just-in-time approach so that by the end of the book students can take on relatively simple modeling example on their own. Each chapter is supplemented with references to additional reading tutorials and exercises that guide students to additional help and allows them to practice both their programming and analytical modeling skills. In addition each of the programming related chapters is divided into two parts – one for MATLAB and one for Python. In these chapters the authors also refer to additional online tutorials that students can use if they are having difficulty with any of the topics. The book culminates with a set of final project exercise suggestions that incorporate both the modeling and programming skills provided in the rest of the volume. Those projects could be undertaken by individuals or small groups of students. The companion website at http://www. intromodeling. com provides updates to instructions when there are substantial changes in software versions as well as electronic copies of exercises and the related code. The website also offers a space where people can suggest additional projects they are willing to share as well as comments on the existing projects and exercises throughout the book. Solutions and lecture notes will also be available for qualifying instructors. | Introduction to Modeling and Simulation with MATLAB® and Python

GBP 44.99
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The Internet Book Everything You Need to Know about Computer Networking and How the Internet Works

The Internet Book Everything You Need to Know about Computer Networking and How the Internet Works

The Internet Book Fifth Edition explains how computers communicate what the Internet is how the Internet works and what services the Internet offers. It is designed for readers who do not have a strong technical background — early chapters clearly explain the terminology and concepts needed to understand all the services. It helps the reader to understand the technology behind the Internet appreciate how the Internet can be used and discover why people find it so exciting. In addition it explains the origins of the Internet and shows the reader how rapidly it has grown. It also provides information on how to avoid scams and exaggerated marketing claims. The first section of the book introduces communication system concepts and terminology. The second section reviews the history of the Internet and its incredible growth. It documents the rate at which the digital revolution occurred and provides background that will help readers appreciate the significance of the underlying design. The third section describes basic Internet technology and capabilities. It examines how Internet hardware is organized and how software provides communication. This section provides the foundation for later chapters and will help readers ask good questions and make better decisions when salespeople offer Internet products and services. The final section describes application services currently available on the Internet. For each service the book explains both what the service offers and how the service works. About the Author Dr. Douglas Comer is a Distinguished Professor at Purdue University in the departments of Computer Science and Electrical and Computer Engineering. He has created and enjoys teaching undergraduate and graduate courses on computer networks and Internets operating systems computer architecture and computer software. One of the researchers who contributed to the Internet as it was being formed in the late 1970s and 1980s he has served as a member of the Internet Architecture Board the group responsible for guiding the Internet’s development. Prof. Comer is an internationally recognized expert on computer networking the TCP/IP protocols and the Internet who presents lectures to a wide range of audiences. In addition to research articles he has written a series of textbooks that describe the technical details of the Internet. Prof. Comer’s books have been translated into many languages and are used in industry as well as computer science engineering and business departments around the world. Prof. Comer joined the Internet project in the late 1970s and has had a high-speed Internet connection to his home since 1981. He wrote this book as a response to everyone who has asked him for an explanation of the Internet that is both technically correct and easily understood by anyone. An Internet enthusiast Comer displays INTRNET on the license plate of his car. | The Internet Book Everything You Need to Know about Computer Networking and How the Internet Works

GBP 84.99
1