New Perspectives Computer Concepts 2018


Book Description

Technology impacts every aspect of life and choices are endless. As a college student, you need to know how to evaluate devices, choose apps, maintain a compelling online reputation, and lock down digital security. NEW PERSPECTIVES ON COMPUTER CONCEPTS 2018, INTRODUCTORY goes beyond the intuitive "how-to" of apps and social media to delve into the broad concepts that are guiding current technologies such as self-driving cars, virtual reality, file sharing torrents, encrypted communications, photo forensics, and the Internet of Things. Numerous illustrations and interactive features in this complete book make mastering technical topics a breeze with a learning path that is structured with you, today's busy student, in mind. This edition offers an insightful overview of what every college student should know about using technology to complete your education, launch a successful career, and engage in issues that shape today's world.




New Perspectives on Computer Concepts 2018: Introductory


Book Description

In today’s world where technology impacts every aspect of life, you need to know how to evaluate devices, choose apps, maintain a professional online reputation, and ensure digital security. NEW PERSPECTIVES ON COMPUTER CONCEPTS 2018, INTRODUCTORY offers the insights to help. This book goes beyond the intuitive how-to of apps and social media to delve into broad concepts that are guiding current technologies such as self-driving cars, virtual reality, file sharing torrents, encrypted communications, photo forensics, and the Internet of Things. Numerous illustrations and interactive features make mastering technical topics a breeze, while the book’s proven learning path is structured with today's busy reader in mind. This edition offers an insightful overview of what today’s readers must know about using technology to complete an education, secure a successful career, and engage in issues that shape today's world. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.




New Perspectives on Computer Concepts 2018


Book Description

Technology impacts every aspect of life and choices are endless. As a college student, you need to know how to evaluate devices, choose apps, maintain a compelling online reputation, and lock down digital security. NEW PERSPECTIVES ON COMPUTER CONCEPTS 2018, COMPREHENSIVE goes beyond the intuitive "how-to" of apps and social media to delve into the broad concepts that are guiding current technologies such as self-driving cars, virtual reality, file sharing torrents, encrypted communications, photo forensics, and the Internet of Things. Numerous illustrations and interactive features in this complete book make mastering technical topics a breeze with a learning path that is structured with you, today's busy student, in mind. This edition offers an insightful overview of what every college student should know about using technology to complete your education, launch a successful career, and engage in issues that shape today's world.




Computer-Related Risks


Book Description

"This sobering description of many computer-related failures throughout our world deflates the hype and hubris of the industry. Peter Neumann analyzes the failure modes, recommends sequences for prevention and ends his unique book with some broadening reflections on the future." —Ralph Nader, Consumer Advocate This book is much more than a collection of computer mishaps; it is a serious, technically oriented book written by one of the world's leading experts on computer risks. The book summarizes many real events involving computer technologies and the people who depend on those technologies, with widely ranging causes and effects. It considers problems attributable to hardware, software, people, and natural causes. Examples include disasters (such as the Black Hawk helicopter and Iranian Airbus shootdowns, the Exxon Valdez, and various transportation accidents); malicious hacker attacks; outages of telephone systems and computer networks; financial losses; and many other strange happenstances (squirrels downing power grids, and April Fool's Day pranks). Computer-Related Risks addresses problems involving reliability, safety, security, privacy, and human well-being. It includes analyses of why these cases happened and discussions of what might be done to avoid recurrences of similar events. It is readable by technologists as well as by people merely interested in the uses and limits of technology. It is must reading for anyone with even a remote involvement with computers and communications—which today means almost everyone. Computer-Related Risks: Presents comprehensive coverage of many different types of risks Provides an essential system-oriented perspective Shows how technology can affect your life—whether you like it or not!




The World of Open Data


Book Description

This book discusses the latest developments in the field of open data. The opening of data by public organizations has the potential to improve the public sector, inspire business innovation, and establish transparency. With this potential comes unique challenges; these developments impact the operation of governments as well as their relationship with private sector enterprises and society. Changes at the technical, organizational, managerial, and political level are taking place, which, in turn, impact policy-making and traditional institutional structures. This book contributes to the systematic analysis and publication of cutting-edge methods, tools, and approaches for more efficient data sharing policies, practices, and further research. Topics discussed include an introduction to open data, the open data landscape, the open data life cycle, open data policies, organizational issues, interoperability, infrastructure, business models, open data portal evaluation, and research directions, best practices, and guidelines. Written to address different perspectives, this book will be of equal interest to students and researchers, ICT industry staff, practitioners, policy makers and public servants.




Introduction to Information Science and Technology


Book Description

This guide to information science and technology presents a clear, concise, and approachable account of the fundamental issues, with appropriate historical and theoretical background. Topics covered include information needs, seeking, and use; representation and organization of infomation; computers and networks; structured information systems; information systems applications; users' perpectives in information systems; social informatics; communication using information technologies; information policy; and the information professions.




Encyclopedia of Information Science and Technology


Book Description

"This set of books represents a detailed compendium of authoritative, research-based entries that define the contemporary state of knowledge on technology"--Provided by publisher.




Computer Systems


Book Description

For Computer Systems, Computer Organization and Architecture courses in CS, EE, and ECE departments. Few students studying computer science or computer engineering will ever have the opportunity to build a computer system. On the other hand, most students will be required to use and program computers on a near daily basis. Computer Systems: A Programmer's Perspective introduces the important and enduring concepts that underlie computer systems by showing how these ideas affect the correctness, performance, and utility of application programs. The text's hands-on approach (including a comprehensive set of labs) helps students understand the under-the-hood operation of a modern computer system and prepares them for future courses in systems topics such as compilers, computer architecture, operating systems, and networking.




Factfulness


Book Description

INSTANT NEW YORK TIMES BESTSELLER “One of the most important books I’ve ever read—an indispensable guide to thinking clearly about the world.” – Bill Gates “Hans Rosling tells the story of ‘the secret silent miracle of human progress’ as only he can. But Factfulness does much more than that. It also explains why progress is so often secret and silent and teaches readers how to see it clearly.” —Melinda Gates "Factfulness by Hans Rosling, an outstanding international public health expert, is a hopeful book about the potential for human progress when we work off facts rather than our inherent biases." - Former U.S. President Barack Obama Factfulness: The stress-reducing habit of only carrying opinions for which you have strong supporting facts. When asked simple questions about global trends—what percentage of the world’s population live in poverty; why the world’s population is increasing; how many girls finish school—we systematically get the answers wrong. So wrong that a chimpanzee choosing answers at random will consistently outguess teachers, journalists, Nobel laureates, and investment bankers. In Factfulness, Professor of International Health and global TED phenomenon Hans Rosling, together with his two long-time collaborators, Anna and Ola, offers a radical new explanation of why this happens. They reveal the ten instincts that distort our perspective—from our tendency to divide the world into two camps (usually some version of us and them) to the way we consume media (where fear rules) to how we perceive progress (believing that most things are getting worse). Our problem is that we don’t know what we don’t know, and even our guesses are informed by unconscious and predictable biases. It turns out that the world, for all its imperfections, is in a much better state than we might think. That doesn’t mean there aren’t real concerns. But when we worry about everything all the time instead of embracing a worldview based on facts, we can lose our ability to focus on the things that threaten us most. Inspiring and revelatory, filled with lively anecdotes and moving stories, Factfulness is an urgent and essential book that will change the way you see the world and empower you to respond to the crises and opportunities of the future. --- “This book is my last battle in my life-long mission to fight devastating ignorance...Previously I armed myself with huge data sets, eye-opening software, an energetic learning style and a Swedish bayonet for sword-swallowing. It wasn’t enough. But I hope this book will be.” Hans Rosling, February 2017.




Deep Learning


Book Description

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.