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| discovering computer 2017: Enhanced Discovering Computers ̧2017, Essentials, Rental Version Misty E. Vermaat, Susan L. Sebok, Steven M. Freund, Jennifer Campbell, 2016-01-21 Teach students to maximize the use of mobile devices, make the most of online tools for collaboration and communications, and fully utilize today's Internet capabilities with the latest edition of the comprehensive DISCOVERING COMPUTERS ESSENTIALS ENHANCED. Introductory computing students see how technology skills assist in employment and advancing careers. This edition highlights the most recent developments in computer tools and technology with new emphasis on Web Development, creating a strong web presence, and the latest Windows 10 information. To keep content as current as possible, online coverage of contemporary technology developments builds on the book's discussions. The authors emphasize actionable content with a proven learning structure and practice to reinforce key skills. Self-assessments open each chapter, enabling learners to target study and learn more in less time. DISCOVERING COMPUTERS ESSENTIALS ENHANCED presents the content students need to succeed in a way that ensures understanding. |
| discovering computer 2017: Enhanced Discovering Computers ̧2017, Rental Version Misty E. Vermaat, Susan L. Sebok, Steven M. Freund, Jennifer Campbell, 2016-01-21 Teach students to maximize the use of mobile devices, make the most of online tools for collaboration and communications, and fully utilize today's Internet capabilities with the latest edition DISCOVERING COMPUTERS ENHANCED. Introductory computing students see how technology skills assist in employment and advancing careers. This edition highlights the most recent developments in computer tools and technology with new emphasis on Web Development, creating a strong web presence, and the latest Windows 10 information. To keep content as current as possible, online coverage of contemporary technology developments builds on the book's discussions. The authors emphasize actionable content with a proven learning structure and practice to reinforce key skills. Self-assessments open each chapter, enabling learners to target study and learn more in less time. DISCOVERING COMPUTERS ENHANCED presents the content students need to succeed in a way that ensures understanding. |
| discovering computer 2017: Discovering Computer Science Jessen Havill, 2020-10-27 Havill's problem-driven approach introduces algorithmic concepts in context and motivates students with a wide range of interests and backgrounds. -- Janet Davis , Associate Professor and Microsoft Chair of Computer Science, Whitman College This book looks really great and takes exactly the approach I think should be used for a CS 1 course. I think it really fills a need in the textbook landscape. -- Marie desJardins, Dean of the College of Organizational, Computational, and Information Sciences, Simmons University Discovering Computer Science is a refreshing departure from introductory programming texts, offering students a much more sincere introduction to the breadth and complexity of this ever-growing field. -- James Deverick, Senior Lecturer, The College of William and Mary This unique introduction to the science of computing guides students through broad and universal approaches to problem solving in a variety of contexts and their ultimate implementation as computer programs. -- Daniel Kaplan, DeWitt Wallace Professor, Macalester College Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming is a problem-oriented introduction to computational problem solving and programming in Python, appropriate for a first course for computer science majors, a more targeted disciplinary computing course or, at a slower pace, any introductory computer science course for a general audience. Realizing that an organization around language features only resonates with a narrow audience, this textbook instead connects programming to students’ prior interests using a range of authentic problems from the natural and social sciences and the digital humanities. The presentation begins with an introduction to the problem-solving process, contextualizing programming as an essential component. Then, as the book progresses, each chapter guides students through solutions to increasingly complex problems, using a spiral approach to introduce Python language features. The text also places programming in the context of fundamental computer science principles, such as abstraction, efficiency, testing, and algorithmic techniques, offering glimpses of topics that are traditionally put off until later courses. This book contains 30 well-developed independent projects that encourage students to explore questions across disciplinary boundaries, over 750 homework exercises, and 300 integrated reflection questions engage students in problem solving and active reading. The accompanying website — https://www.discoveringcs.net — includes more advanced content, solutions to selected exercises, sample code and data files, and pointers for further exploration. |
| discovering computer 2017: Computer Architecture for Scientists Andrew A. Chien, 2022-03-10 A principled, high-level view of computer performance and how to exploit it. Ideal for software architects and data scientists. |
| discovering computer 2017: Enhanced Discovering Computers 2017 Vermaat Misty, 2016 |
| discovering computer 2017: Teachers Discovering Computers Gary B. Shelly, Glenda A. Gunter, Randolph E. Gunter, 2011-12 Introduces future educators to technology and digital media. Tomorrow's teachers will learn about the latest trends in technology and how to integrate these concepts into their classroom using a variety of practical applications to successfully teach the current generation of digital students.--Publisher. |
| discovering computer 2017: The Digital Mind Arlindo Oliveira, 2018-03-09 How developments in science and technology may enable the emergence of purely digital minds—intelligent machines equal to or greater in power than the human brain. What do computers, cells, and brains have in common? Computers are electronic devices designed by humans; cells are biological entities crafted by evolution; brains are the containers and creators of our minds. But all are, in one way or another, information-processing devices. The power of the human brain is, so far, unequaled by any existing machine or known living being. Over eons of evolution, the brain has enabled us to develop tools and technology to make our lives easier. Our brains have even allowed us to develop computers that are almost as powerful as the human brain itself. In this book, Arlindo Oliveira describes how advances in science and technology could enable us to create digital minds. Exponential growth is a pattern built deep into the scheme of life, but technological change now promises to outstrip even evolutionary change. Oliveira describes technological and scientific advances that range from the discovery of laws that control the behavior of the electromagnetic fields to the development of computers. He calls natural selection the ultimate algorithm, discusses genetics and the evolution of the central nervous system, and describes the role that computer imaging has played in understanding and modeling the brain. Having considered the behavior of the unique system that creates a mind, he turns to an unavoidable question: Is the human brain the only system that can host a mind? If digital minds come into existence—and, Oliveira says, it is difficult to argue that they will not—what are the social, legal, and ethical implications? Will digital minds be our partners, or our rivals? |
| discovering computer 2017: Computer Science: Discovering God's Glory in Ones and Zeros Jonathan R. Stoddard, 2015-03-16 What does computer programming have to do with God? Discover how writing code gives programmers a unique insight into Gods all-powerful word, and how constructing software can glorify him. |
| discovering computer 2017: Computer Organization and Design RISC-V Edition David A. Patterson, John L. Hennessy, 2017-04-13 The new RISC-V Edition of Computer Organization and Design features the RISC-V open source instruction set architecture, the first open source architecture designed to be used in modern computing environments such as cloud computing, mobile devices, and other embedded systems. With the post-PC era now upon us, Computer Organization and Design moves forward to explore this generational change with examples, exercises, and material highlighting the emergence of mobile computing and the Cloud. Updated content featuring tablet computers, Cloud infrastructure, and the x86 (cloud computing) and ARM (mobile computing devices) architectures is included. An online companion Web site provides advanced content for further study, appendices, glossary, references, and recommended reading. |
| discovering computer 2017: Machine Learning and Knowledge Discovery in Databases Michelangelo Ceci, Jaakko Hollmén, Ljupčo Todorovski, Celine Vens, Sašo Džeroski, 2017-12-29 The three volume proceedings LNAI 10534 – 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. The total of 101 regular papers presented in part I and part II was carefully reviewed and selected from 364 submissions; there are 47 papers in the applied data science, nectar and demo track. The contributions were organized in topical sections named as follows: Part I: anomaly detection; computer vision; ensembles and meta learning; feature selection and extraction; kernel methods; learning and optimization, matrix and tensor factorization; networks and graphs; neural networks and deep learning. Part II: pattern and sequence mining; privacy and security; probabilistic models and methods; recommendation; regression; reinforcement learning; subgroup discovery; time series and streams; transfer and multi-task learning; unsupervised and semisupervised learning. Part III: applied data science track; nectar track; and demo track. |
| discovering computer 2017: Mindstorms Seymour A Papert, 2020-10-06 In this revolutionary book, a renowned computer scientist explains the importance of teaching children the basics of computing and how it can prepare them to succeed in the ever-evolving tech world. Computers have completely changed the way we teach children. We have Mindstorms to thank for that. In this book, pioneering computer scientist Seymour Papert uses the invention of LOGO, the first child-friendly programming language, to make the case for the value of teaching children with computers. Papert argues that children are more than capable of mastering computers, and that teaching computational processes like de-bugging in the classroom can change the way we learn everything else. He also shows that schools saturated with technology can actually improve socialization and interaction among students and between students and teachers. Technology changes every day, but the basic ways that computers can help us learn remain. For thousands of teachers and parents who have sought creative ways to help children learn with computers, Mindstorms is their bible. |
| discovering computer 2017: Cloud Computing for Science and Engineering Ian Foster, Dennis B. Gannon, 2017-09-29 A guide to cloud computing for students, scientists, and engineers, with advice and many hands-on examples. The emergence of powerful, always-on cloud utilities has transformed how consumers interact with information technology, enabling video streaming, intelligent personal assistants, and the sharing of content. Businesses, too, have benefited from the cloud, outsourcing much of their information technology to cloud services. Science, however, has not fully exploited the advantages of the cloud. Could scientific discovery be accelerated if mundane chores were automated and outsourced to the cloud? Leading computer scientists Ian Foster and Dennis Gannon argue that it can, and in this book offer a guide to cloud computing for students, scientists, and engineers, with advice and many hands-on examples. The book surveys the technology that underpins the cloud, new approaches to technical problems enabled by the cloud, and the concepts required to integrate cloud services into scientific work. It covers managing data in the cloud, and how to program these services; computing in the cloud, from deploying single virtual machines or containers to supporting basic interactive science experiments to gathering clusters of machines to do data analytics; using the cloud as a platform for automating analysis procedures, machine learning, and analyzing streaming data; building your own cloud with open source software; and cloud security. The book is accompanied by a website, Cloud4SciEng.org, that provides a variety of supplementary material, including exercises, lecture slides, and other resources helpful to readers and instructors. |
| discovering computer 2017: Introduction to Data Science Laura Igual, Santi Seguí, 2017-02-22 This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: provides numerous practical case studies using real-world data throughout the book; supports understanding through hands-on experience of solving data science problems using Python; describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming; reviews a range of applications of data science, including recommender systems and sentiment analysis of text data; provides supplementary code resources and data at an associated website. |
| discovering computer 2017: Reinventing Discovery Michael Nielsen, 2020-04-07 Reinventing Discovery argues that we are in the early days of the most dramatic change in how science is done in more than 300 years. This change is being driven by new online tools, which are transforming and radically accelerating scientific discovery-- |
| discovering computer 2017: Age of Discovery Ian Goldin, Chris Kutarna, 2016-05-24 The present is a contest between the bright and dark sides of discovery. To avoid being torn apart by its stresses, we need to recognize the fact—and gain courage and wisdom from the past. Age of Discovery shows how. Now is the best moment in history to be alive, but we have never felt more anxious or divided. Human health, aggregate wealth and education are flourishing. Scientific discovery is racing forward. But the same global flows of trade, capital, people and ideas that make gains possible for some people deliver big losses to others—and make us all more vulnerable to one another. Business and science are working giant revolutions upon our societies, but our politics and institutions evolve at a much slower pace. That’s why, in a moment when everyone ought to be celebrating giant global gains, many of us are righteously angry at being left out and stressed about where we’re headed. To make sense of present shocks, we need to step back and recognize: we’ve been here before. The first Renaissance, the time of Columbus, Copernicus, Gutenberg and others, likewise redrew all maps of the world, democratized communication and sparked a flourishing of creative achievement. But their world also grappled with the same dark side of rapid change: social division, political extremism, insecurity, pandemics and other unintended consequences of discovery. Now is the second Renaissance. We can still flourish—if we learn from the first. |
| discovering computer 2017: Cloud Computing Solutions Souvik Pal, Dac-Nhuong Le, Prasant Kumar Pattnaik, 2022-05-11 CLOUD COMPUTING SOLUTIONS The main purpose of this book is to include all the cloud-related technologies in a single platform, so that researchers, academicians, postgraduate students, and those in the industry can easily understand the cloud-based ecosystems. This book discusses the evolution of cloud computing through grid computing and cluster computing. It will help researchers and practitioners to understand grid and distributed computing cloud infrastructure, virtual machines, virtualization, live migration, scheduling techniques, auditing concept, security and privacy, business models, and case studies through the state-of-the-art cloud computing countermeasures. This book covers the spectrum of cloud computing-related technologies and the wide-ranging contents will differentiate this book from others. The topics treated in the book include: The evolution of cloud computing from grid computing, cluster computing, and distributed systems; Covers cloud computing and virtualization environments; Discusses live migration, database, auditing, and applications as part of the materials related to cloud computing; Provides concepts of cloud storage, cloud strategy planning, and management, cloud security, and privacy issues; Explains complex concepts clearly and covers information for advanced users and beginners. Audience The primary audience for the book includes IT, computer science specialists, researchers, graduate students, designers, experts, and engineers who are occupied with research. |
| discovering computer 2017: Cycles of Invention and Discovery Venkatesh Narayanamurti, Toluwalogo Odumosu, 2016-10-24 Using Nobel Prize–winning examples like the transistor, laser, and magnetic resonance imaging, Venky Narayanamurti and Tolu Odumosu explore the daily micro-practices of research and show that distinctions between the search for knowledge and creative problem solving break down when one pays attention to how pathbreaking research actually happens. |
| discovering computer 2017: Origin Dan Brown, 2019-05-31 Robert Langdon diundang menghadiri acara pengungkapan penemuan Edmond Kirsch, seorang miliarder sekaligus ilmuwan komputer, di Museum Guggenheim, Spanyol. Kirsch yang ateis, sesumbar temuannya akan mengubah wajah dunia selamanya. Temuan yang diklaim akan menjawab dua pertanyaan fundamental eksistensi manusia itu digelar secara langsung melalui Internet dan disiarkan ke seluruh dunia. Namun, terjadi kekacauan. Kirsch terbunuh, sementara Langdon malah dituduh terlibat dalam pembunuhan dan menculik tunangan calon raja Spanyol. Langdon harus berkejaran dengan waktu untuk membuktikan bahwa dia tak bersalah, sekaligus mengungkap apa sebenarnya temuan Kirsch yang membuat pria itu harus kehilangan nyawa. Menyusuri koridor-koridor gelap rahasia sejarah dan agama, Langdon harus berpikir cepat untuk mengungkapkan rahasia sekaligus menghindari musuh yang sepertinya tahu segala dan mendapat dukungan dari Istana Kerajaan Spanyol. Berhasilkah Langdon memecahkan teka-teki temuan Kirsch yang sepertinya menyalakan api konspirasi jahat di seluruh dunia? Tokoh-tokoh agama terbunuh, kaum fanatik menebarkan ancaman, sementara musuh tersembunyi terus bisa menebak langkah mereka. Pada saat sepertinya tak ada jalan keluar, satu sosok misterius membantu Langdon di sepanjang jalan. Siapakah sosok dingin tanpa emosi ini? Akankah dia benar membantu Langdon mengungkapkan temuan Kirsch atau malah menjebak Langdon dalam kelindan konspirasi yang akan menghancurkan kemanusiaan? [Mizan, Mizan Publishing, Fiction, Thrillers, Misteri, Teka-Teki, Rahasia,Terjemahan, Dewasa, Indonesia] |
| discovering computer 2017: Computer Organization and Design David A. Patterson, John L. Hennessy, 2022 |
| discovering computer 2017: Resource Discovery, Navigability and Trust Management Techniques for IoT and SIoT Venugopal K R, Roopa M S, Santosh Pattar, 2024-10-22 A ready reference for the next-generation discovery techniques, this book presents advanced research findings on resource discovery, network navigability, and trust management on the Internet of Things (IoT) and Social Internet of Things (SIoT) ecosystems. It discusses the benefits of integrating social networking concepts into the Internet of Things to find the preferable, reliable, scalable, and near-optimal detection of things or services. It explores the concepts of the Social Internet of Things in different domains of IoT, such as the Internet of Vehicles and the Industrial Internet of Things. This book works to recognize and respond to user queries and improve service provisioning, find the optimal solution for the link selection in the SIoT structure, develop large-scale platforms, and provide a smart mechanism for trust evaluation. · Covers the rapid advancements in low-cost sensor manufacturing, communication protocols, embedded systems, actuators, and hardware miniaturization that have contributed to the exponential growth of the IoT · Presents the fundamentals of a search system for sensor search and resource discovery in an IoT ecosystem · Includes the applicability of different search techniques across several application domains of the IoT under various use case scenarios · Discusses the thrust areas in SIoT (service discovery and composition, network navigability, relationship management, and trustworthiness management) and presents several prerequisites, challenges, and use case scenarios · Provides insights into current challenges in the domains of Internet of Things and Social Internet of Things This book will be helpful to researchers, scholars, and postgraduate students in Computer Science and Information Technology departments. |
| discovering computer 2017: Make: Electronics Charles Platt, 2009-11-23 This is teaching at its best! --Hans Camenzind, inventor of the 555 timer (the world's most successful integrated circuit), and author of Much Ado About Almost Nothing: Man's Encounter with the Electron (Booklocker.com) A fabulous book: well written, well paced, fun, and informative. I also love the sense of humor. It's very good at disarming the fear. And it's gorgeous. I'll be recommending this book highly. --Tom Igoe, author of Physical Computing and Making Things Talk Want to learn the fundamentals of electronics in a fun, hands-on way? With Make: Electronics, you'll start working on real projects as soon as you crack open the book. Explore all of the key components and essential principles through a series of fascinating experiments. You'll build the circuits first, then learn the theory behind them! Build working devices, from simple to complex You'll start with the basics and then move on to more complicated projects. Go from switching circuits to integrated circuits, and from simple alarms to programmable microcontrollers. Step-by-step instructions and more than 500 full-color photographs and illustrations will help you use -- and understand -- electronics concepts and techniques. Discover by breaking things: experiment with components and learn from failure Set up a tricked-out project space: make a work area at home, equipped with the tools and parts you'll need Learn about key electronic components and their functions within a circuit Create an intrusion alarm, holiday lights, wearable electronic jewelry, audio processors, a reflex tester, and a combination lock Build an autonomous robot cart that can sense its environment and avoid obstacles Get clear, easy-to-understand explanations of what you're doing and why |
| discovering computer 2017: Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery Yong Liu, Lipo Wang, Liang Zhao, Zhengtao Yu, 2019-11-06 This book discusses the recent advances in natural computation, fuzzy systems and knowledge discovery. Presenting selected, peer-reviewed papers from the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), held in Kunming, China, from 20 to 22 July 2019, it is a useful resource for researchers, including professors and graduate students, as well as R&D staff in industry. |
| discovering computer 2017: Everything You Need to Ace Computer Science and Coding in One Big Fat Notebook Workman Publishing, 2020-04-14 From the editors of Brain Quest, America’s #1 educational bestseller! This Big Fat Notebook makes it all “sink in” with key concepts, mnemonic devices, definitions, diagrams, and doodles to help you understand computer science. Including: Computing systems Binary code Algorithms Computational thinking Loops, events, and procedures Programming in Scratch and Python Boolean Expressions Web development Cybersecurity HTML CSS …and more! The Big Fat Notebook series is built on a simple and irresistible conceit—borrowing the notes from the smartest kid in class. Each book in the series meets Common Core State Standards, Next Generation Science Standards, and state history standards, and are vetted by National and State Teacher of the Year Award–winning teachers. They make learning fun and are the perfect next step for every kid who grew up on Brain Quest. |
| discovering computer 2017: Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery Hongying Meng, Tao Lei, Maozhen Li, Kenli Li, Ning Xiong, Lipo Wang, 2021-06-26 This book consists of papers on the recent progresses in the state of the art in natural computation, fuzzy systems and knowledge discovery. The book is useful for researchers, including professors, graduate students, as well as R & D staff in the industry, with a general interest in natural computation, fuzzy systems and knowledge discovery. The work printed in this book was presented at the 2020 16th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2020), held in Xi'an, China, from 19 to 21 December 2020. All papers were rigorously peer-reviewed by experts in the areas. |
| discovering computer 2017: Deep Learning Ian Goodfellow, Yoshua Bengio, Aaron Courville, 2016-11-18 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. |
| discovering computer 2017: Trends and Applications in Knowledge Discovery and Data Mining U Kang, Ee-Peng Lim, Jeffrey Xu Yu, Yang-Sae Moon, 2017-10-07 This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2017, held in conjunction with PAKDD, the 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining in May 2017 in Jeju, South Korea. The 17 revised papers presented were carefully reviewed and selected from 38 submissions. The workshops affiliated with PAKDD 2017 include: Workshop on Machine Learning for Sensory Data Analysis (MLSDA), Workshop on Biologically Inspired Data Mining Techniques (BDM), Pacific Asia Workshop on Intelligence and Security Informatics (PAISI), and Workshop on Data Mining in Business Process Management (DM-BPM). |
| discovering computer 2017: Advances in Knowledge Discovery and Data Mining Jinho Kim, Kyuseok Shim, Longbing Cao, Jae-Gil Lee, Xuemin Lin, Yang-Sae Moon, 2017-04-25 This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and deep learning; social network and graph mining; privacy-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms; behavioral data mining; graph clustering and community detection; dimensionality reduction. |
| discovering computer 2017: The Elements of Computing Systems Noam Nisan, Shimon Schocken, 2005 This title gives students an integrated and rigorous picture of applied computer science, as it comes to play in the construction of a simple yet powerful computer system. |
| discovering computer 2017: Computer Architecture John L. Hennessy, David A. Patterson, 2017-11-23 Computer Architecture: A Quantitative Approach, Sixth Edition has been considered essential reading by instructors, students and practitioners of computer design for over 20 years. The sixth edition of this classic textbook from Hennessy and Patterson, winners of the 2017 ACM A.M. Turing Award recognizing contributions of lasting and major technical importance to the computing field, is fully revised with the latest developments in processor and system architecture. The text now features examples from the RISC-V (RISC Five) instruction set architecture, a modern RISC instruction set developed and designed to be a free and openly adoptable standard. It also includes a new chapter on domain-specific architectures and an updated chapter on warehouse-scale computing that features the first public information on Google's newest WSC. True to its original mission of demystifying computer architecture, this edition continues the longstanding tradition of focusing on areas where the most exciting computing innovation is happening, while always keeping an emphasis on good engineering design. - Winner of a 2019 Textbook Excellence Award (Texty) from the Textbook and Academic Authors Association - Includes a new chapter on domain-specific architectures, explaining how they are the only path forward for improved performance and energy efficiency given the end of Moore's Law and Dennard scaling - Features the first publication of several DSAs from industry - Features extensive updates to the chapter on warehouse-scale computing, with the first public information on the newest Google WSC - Offers updates to other chapters including new material dealing with the use of stacked DRAM; data on the performance of new NVIDIA Pascal GPU vs. new AVX-512 Intel Skylake CPU; and extensive additions to content covering multicore architecture and organization - Includes Putting It All Together sections near the end of every chapter, providing real-world technology examples that demonstrate the principles covered in each chapter - Includes review appendices in the printed text and additional reference appendices available online - Includes updated and improved case studies and exercises - ACM named John L. Hennessy and David A. Patterson, recipients of the 2017 ACM A.M. Turing Award for pioneering a systematic, quantitative approach to the design and evaluation of computer architectures with enduring impact on the microprocessor industry |
| discovering computer 2017: Semantic Web Christopher J. O. Baker, Kei-Hoi Cheung, 2007-04-14 The rapid growth of the Web has led to the proliferation of information sources and content accessible via the Internet. While improvements in hardware capabilities continue to help the speed and the flow of information across networked computers, there remains a major problem for the human user to keep up with the rapid expansion of the Web information space. Although there is plenty of room for computers to help humans to discover, navigate, and integrate information in this vast information space, the way the information is currently represented and structured through the Web is not easily readable to computers. To address this issue, the Semantic Web has emerged. It envisions a new information infrastructure that enables computers to better address the information needs of human users. To realize the Semantic Web vision, a number of standard technologies have been developed. These include the Uniform Resource Identifiers (URI) for identifying objects in the Web space as well as Resource Description Framework (RDF) and Web Ontology Language (OWL) for encoding knowledge in the form of standard machine-readable ontologies. The goal is to migrate from the syntactic Web of documents to the semantic Web of ontologies. The leading organization for facilitating, developing, and promoting these Web-based standards is the World Wide Web Consortium (W3C) (http://www. w3. org). |
| discovering computer 2017: Decoding the Heavens Jo Marchant, 2009-08-18 In 1900 a group of sponge divers blown off course in the Mediterranean discovered an Ancient Greek shipwreck near the island of Antikythera dating from around 70 BC. Lying unnoticed for months amongst their hard-won haul was what appeared to be a formless lump of corroded rock, which turned out to be the most stunning scientific artefact we have from antiquity. For more than a century this 'Antikythera mechanism' - an ancient computer - puzzled academics, but now, more than 2000 years after the device was lost at sea, scientists have pieced together its intricate workings. In Decoding the Heavens, Jo Marchant tells for the first time the story of the 100-year quest to understand the Antikythera mechanism. Along the way she unearths a diverse cast of remarkable characters - ranging from Archimedes to Jacques Cousteau - and explores the deep roots of modern technology not only in Ancient Greece, the Islamic world and medieval Europe. |
| discovering computer 2017: Enhanced Discovering Computers 2017, Essentials Misty E. Vermaat, Susan L. Sebok, Mark Frydenberg, Jennifer T. Campbell, 2016-01-28 Teach students to maximize the use of mobile devices, make the most of online tools for collaboration and communications, and fully utilize today's Internet capabilities with the latest edition of the comprehensive DISCOVERING COMPUTERS ESSENTIALS ENHANCED. Introductory computing students see how technology skills assist in employment and advancing careers. This edition highlights the most recent developments in computer tools and technology with new emphasis on Web Development, creating a strong web presence, and the latest Windows 10 information. To keep content as current as possible, online coverage of contemporary technology developments builds on the book's discussions. The authors emphasize actionable content with a proven learning structure and practice to reinforce key skills. Self-assessments open each chapter, enabling learners to target study and learn more in less time. DISCOVERING COMPUTERS ESSENTIALS ENHANCED presents the content students need to succeed in a way that ensures understanding. |
| discovering computer 2017: Enhanced Discovering Computers ©2017, Essentials Misty E. Vermaat, Susan L. Sebok, Steven M. Freund, Mark Frydenberg, Jennifer T. Campbell, 2016-02-15 Readers learn to maximize the use of mobile devices, make the most of online tools for collaboration and communications, and fully utilize today’s Internet capabilities with the latest edition of DISCOVERING COMPUTERS ESSENTIALS ENHANCED. Learners see how technology skills assist in gaining employment and advancing careers. This edition highlights the most recent developments with new emphasis on Web Development, creating a strong web presence, and the latest Windows 10 information. The authors emphasize actionable content with a proven learning structure and practice to reinforce key skills. Self-assessments open each chapter, enabling readers to target study and learn more in less time. DISCOVERING COMPUTERS ESSENTIALS ENHANCED presents the content needed to succeed in a way that ensures understanding. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version. |
| discovering computer 2017: Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery Ning Xiong, Maozhen Li, Kenli Li, Zheng Xiao, Longlong Liao, Lipo Wang, 2023-01-29 This book consists of papers on the recent progresses in the state of the art in natural computation, fuzzy systems, and knowledge discovery. The book is useful for researchers, including professors, graduate students, as well as R & D staff in the industry, with a general interest in natural computation, fuzzy systems, and knowledge discovery. The work printed in this book was presented at the 2022 18th International Conference on Natural Computation, Fuzzy Systems, and Knowledge Discovery (ICNC-FSKD 2022), held from 30 July to 1 August 2022, in Fuzhou, China. All papers were rigorously peer-reviewed by experts in the areas. |
| discovering computer 2017: Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery Quan Xie, Liang Zhao, Kenli Li, Anupam Yadav, Lipo Wang, 2022-01-04 This book consists of papers on the recent progresses in the state of the art in natural computation, fuzzy systems and knowledge discovery. The book can be useful for researchers, including professors, graduate students, as well as R & D staff in the industry, with a general interest in natural computation, fuzzy systems and knowledge discovery. The work printed in this book was presented at the 2021 17th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2021, 24–26 July 2021, Guiyang, China). All papers were rigorously peer-reviewed by experts in the areas. |
| discovering computer 2017: Discovering the Internet Gary B. Shelly, Jennifer T. Campbell, 2012 DISCOVERING THE INTERNET: COMPLETE, 4E, International Edition provides a hands-on introduction to the latest Internet concepts and skills to help you become digitally literate computer users. Societal coverage makes this book unique, and with content on e-business, social media, and technologies of the Internet, you will receive both basic and technical coverage of Internet concepts and skills. |
| discovering computer 2017: Advances in Knowledge Discovery and Data Mining Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang, 2019-04-03 The three-volume set LNAI 11439, 11440, and 11441 constitutes the thoroughly refereed proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed and selected from 542 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: classification and supervised learning; text and opinion mining; spatio-temporal and stream data mining; factor and tensor analysis; healthcare, bioinformatics and related topics; clustering and anomaly detection; deep learning models and applications; sequential pattern mining; weakly supervised learning; recommender system; social network and graph mining; data pre-processing and featureselection; representation learning and embedding; mining unstructured and semi-structured data; behavioral data mining; visual data mining; and knowledge graph and interpretable data mining. |
| discovering computer 2017: Discovering Computers 2011 Gary B. Shelly, Misty Vermaat, Jeffrey J. Quasney, Susan L. Sebok, Steven M. Freund, 2010-03-26 DISCOVERING COMPUTERS 2011: BRIEF, International Edition, provides students with a current and thorough introduction to computers by integrating the use of technology with the printed text. This Shelly Cashman Series text offers a dynamic and engaging solution to successfully teach students the most important computer concepts in today's digital world through exciting new exercises that focus on problem solving and critical thinking, along with online reinforcement tools on the unparalleled Online Companion. Updated for currency, students will learn the latest trends in technology and computer concepts and how these topics are integrated into their daily lives. |
| discovering computer 2017: Trends and Applications in Knowledge Discovery and Data Mining Manish Gupta, Ganesh Ramakrishnan, 2021-05-03 This book constitutes the refereed proceedings of five workshops that were held in conjunction with the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2021, in Delhi, India, in May 2021. The 17 revised full papers presented were carefully reviewed and selected from a total of 39 submissions.. The five workshops were as follows: Workshop on Smart and Precise Agriculture (WSPA 2021) PAKDD 2021 Workshop on Machine Learning for Measurement Informatics (MLMEIN 2021) The First Workshop and Shared Task on Scope Detection of the Peer Review Articles (SDPRA 2021) The First International Workshop on Data Assessment and Readiness for AI (DARAI 2021) The First International Workshop on Artificial Intelligence for Enterprise Process Transformation (AI4EPT 2021) |
| discovering computer 2017: Machine Learning and Knowledge Discovery in Databases: Research Track Danai Koutra, Claudia Plant, Manuel Gomez Rodriguez, Elena Baralis, Francesco Bonchi, 2023-09-16 The multi-volume set LNAI 14169 until 14175 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, in September 2023. The 196 papers were selected from the 829 submissions for the Research Track, and 58 papers were selected from the 239 submissions for the Applied Data Science Track. The volumes are organized in topical sections as follows: Part I: Active Learning; Adversarial Machine Learning; Anomaly Detection; Applications; Bayesian Methods; Causality; Clustering. Part II: Computer Vision; Deep Learning; Fairness; Federated Learning; Few-shot learning; Generative Models; Graph Contrastive Learning. Part III: Graph Neural Networks; Graphs; Interpretability; Knowledge Graphs; Large-scale Learning. Part IV: Natural Language Processing; Neuro/Symbolic Learning; Optimization; Recommender Systems; Reinforcement Learning; Representation Learning. Part V: Robustness; Time Series; Transfer and Multitask Learning. Part VI: Applied Machine Learning; Computational Social Sciences; Finance; Hardware and Systems; Healthcare & Bioinformatics; Human-Computer Interaction; Recommendation and Information Retrieval. Part VII: Sustainability, Climate, and Environment.- Transportation & Urban Planning.- Demo. |
Meaning of discovering in English - Cambridge Dictionary
DISCOVERING meaning: 1. present participle of discover 2. to find information, a place, or an object, especially for the…. Learn more.
DISCOVERING Synonyms: 147 Similar and Opposite Words ...
Synonyms for DISCOVERING: realizing, learning, seeing, hearing, finding, ascertaining, finding out, getting on (to); Antonyms of DISCOVERING: missing, ignoring, overlooking, disregarding, …
107 Synonyms & Antonyms for DISCOVERING - Thesaurus.com
Find 107 different ways to say DISCOVERING, along with antonyms, related words, and example sentences at Thesaurus.com.
discover verb - Definition, pictures, pronunciation and usage ...
Definition of discover verb in Oxford Advanced American Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
Discovering - definition of discovering by The Free Dictionary
1. to be the first to find or find out about: Fleming discovered penicillin. 2. to learn about or encounter for the first time; realize: she discovered the pleasures of wine. 3. to find after study …
Discover Definition & Meaning | Britannica Dictionary
Scientists claim to have discovered [= found] a new way of controlling high blood pressure. It took her several weeks to discover the solution. The autopsy discovered [= revealed, uncovered] …
Discover - Definition, Meaning & Synonyms | Vocabulary.com
When you discover something, it can be by surprise or the result of a search. You might discover the fact that your dad used to travel with the circus as a trapeze artist or discover a band none …
DISCOVER Synonyms: 146 Similar and Opposite Words | Merriam ...
Some common synonyms of discover are ascertain, determine, learn, and unearth. While all these words mean "to find out what one did not previously know," discover may apply to something …
What does discovering mean? - Definitions.net
With reference to sciences and academic disciplines, discovery is the observation of new phenomena, new actions, or new events and providing new reasoning to explain the …
discover | meaning of discover in Longman Dictionary of ...
discover meaning, definition, what is discover: to find someone or something, either by ...: Learn more.
Meaning of discovering in English - Cambridge Dictionary
DISCOVERING meaning: 1. present participle of discover 2. to find information, a place, or an object, especially for the…. Learn more.
DISCOVERING Synonyms: 147 Similar and Opposite Words ...
Synonyms for DISCOVERING: realizing, learning, seeing, hearing, finding, ascertaining, finding out, getting on (to); Antonyms of DISCOVERING: missing, ignoring, overlooking, disregarding, …
107 Synonyms & Antonyms for DISCOVERING - Thesaurus.com
Find 107 different ways to say DISCOVERING, along with antonyms, related words, and example sentences at Thesaurus.com.
discover verb - Definition, pictures, pronunciation and usage ...
Definition of discover verb in Oxford Advanced American Dictionary. Meaning, pronunciation, picture, example sentences, grammar, usage notes, synonyms and more.
Discovering - definition of discovering by The Free Dictionary
1. to be the first to find or find out about: Fleming discovered penicillin. 2. to learn about or encounter for the first time; realize: she discovered the pleasures of wine. 3. to find after study …
Discover Definition & Meaning | Britannica Dictionary
Scientists claim to have discovered [= found] a new way of controlling high blood pressure. It took her several weeks to discover the solution. The autopsy discovered [= revealed, uncovered] …
Discover - Definition, Meaning & Synonyms | Vocabulary.com
When you discover something, it can be by surprise or the result of a search. You might discover the fact that your dad used to travel with the circus as a trapeze artist or discover a band none …
DISCOVER Synonyms: 146 Similar and Opposite Words | Merriam ...
Some common synonyms of discover are ascertain, determine, learn, and unearth. While all these words mean "to find out what one did not previously know," discover may apply to something …
What does discovering mean? - Definitions.net
With reference to sciences and academic disciplines, discovery is the observation of new phenomena, new actions, or new events and providing new reasoning to explain the …
discover | meaning of discover in Longman Dictionary of ...
discover meaning, definition, what is discover: to find someone or something, either by ...: Learn more.
