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An unparalleled opportunity to learn about an exciting new technology that is revolutionizing network and Internet content delivery Network Query Language (NQL) is a revolutionary new scripting language that makes it astonishingly quick and easy to aggregate, analyze, interpret, and redistribute information via networks. Described as the «first language of the content engineering era,» NQL allows programmers to develop bots, intelligent agents, middleware, and sophisticated Web applications in a small fraction of the time it would ordinarily take. This book offers developers and network administrators an unparalleled opportunity to learn about this exciting new technology-what it is, how it works, and how to use and make the most of its many features-from the man who invented it. CD-ROM contains a 60-day-timeout version of NQL in both Windows and Java (Linux and Macintosh) formats.

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A practical overview of OMA specifications and how they enable mobile multimedia services & much more …! The Open Mobile Alliance (OMA) is an industry forum, which develops open specifications to help in the creation of applications and services to be deployed over converged networks. The alliance is the leading industry forum for generating market-driven specifications for interoperable mobile service enablers that facilitate global user adoptions of mobile multimedia services. Members include traditional wireless industry segments, such as mobile operators mobile operators (e.g. AT&T, China Mobile, Orange, Sprint Nextel, T-Mobile, Telefonica, Vodafone), equipment and mobile systems manufacturers (e.g. Alcatel-Lucent, Ericsson, Motorola, Nokia, Philips, Samsung, Siemens, Sony-Ericsson), and Information Technology vendors (e.g. BEA Systems, IBM, Microsoft, Oracle Corporation, Sun Microsystems and NEC). Since its formation in 2002, the OMA has made significant progress in areas such as push-to-talk over cellular, device management, presence and group management, and messaging. The Open Mobile Alliance: Provides a comprehensive overview of the service enablers published by the OMA, tying together all the different piece parts developed by the individual working groups Offers a thorough introduction to the OMA Service Environments (OSE) and the specification process for enabling technologies. Discusses enablers for services such as gaming, IMS, Parlay, mobile broadcast and web services. Contains contributions from all stakeholders in the mobile application value chain. The Open Mobile Alliance Alliance is an invaluable resource for OMA members, product managers, network architects and planners, standards managers, standards engineers and IT professionals. Advanced Students and lecturers on mobile application development and standardization courses will also find this book of interest."The success of OMA is due to its individual members' contributions, and this book is testament to their hard work. The individual members' efforts and the authors of this book are to be congratulated on their magnificent achievements." Mark Cataldo, Senior Advisor, Orange SA, OMA Technical Plenary Chairman

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Become a machine learning pro! Google TensorFlow has become the darling of financial firms and research organizations, but the technology can be intimidating and the learning curve is steep. Luckily, TensorFlow For Dummies is here to offer you a friendly, easy-to-follow book on the subject. Inside, you’ll find out how to write applications with TensorFlow, while also grasping the concepts underlying machine learning—all without ever losing your cool! Machine learning has become ubiquitous in modern society, and its applications include language translation, robotics, handwriting analysis, financial prediction, and image recognition. TensorFlow is Google's preeminent toolset for machine learning, and this hands-on guide makes it easy to understand, even for those without a background in artificial intelligence. Install TensorFlow on your computer Learn the fundamentals of statistical regression and neural networks Visualize the machine learning process with TensorBoard Perform image recognition with convolutional neural networks (CNNs) Analyze sequential data with recurrent neural networks (RNNs) Execute TensorFlow on mobile devices and the Google Cloud Platform (GCP) If you’re a manager or software developer looking to use TensorFlow for machine learning, this is the book you’ll want to have close by.

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Go beyond technique to master the difficult judgement calls of forecasting A variety of software can be used effectively to achieve accurate forecasting, but no software can replace the essential human component. You may be new to forecasting, or you may have mastered the statistical theory behind the software’s predictions, and even more advanced “power user” techniques for the software itself—but your forecasts will never reach peak accuracy unless you master the complex judgement calls that the software cannot make. Profit From Your Forecasting Software addresses the issues that arise regularly, and shows you how to make the correct decisions to get the most out of your software. Taking a non-mathematical approach to the various forecasting models, the discussion covers common everyday decisions such as model choice, forecast adjustment, product hierarchies, safety stock levels, model fit, testing, and much more. Clear explanations help you better understand seasonal indices, smoothing coefficients, mean absolute percentage error, and r-squared, and an exploration of psychological biases provides insight into the decision to override the software’s forecast. With a focus on choice, interpretation, and judgement, this book goes beyond the technical manuals to help you truly grasp the more intangible skills that lead to better accuracy. Explore the advantages and disadvantages of alternative forecasting methods in different situations Master the interpretation and evaluation of your software’s output Learn the subconscious biases that could affect your judgement toward intervention Find expert guidance on testing, planning, and configuration to help you get the most out of your software Relevant to sales forecasters, demand planners, and analysts across industries, Profit From Your Forecasting Software is the much sought-after “missing piece” in forecasting reference.

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Help for grown-ups new to coding Getting a jump on learning how coding makes technology work is essential to prepare kids for the future. Unfortunately, many parents, teachers, and mentors didn't learn the unique logic and language of coding in school. Helping Kids with Coding For Dummies comes to the rescue. It breaks beginning coding into easy-to-understand language so you can help a child with coding homework, supplement an existing coding curriculum, or have fun learning with your favorite kid. The demand to have younger students learn coding has increased in recent years as the demand for trained coders has far exceeded the supply of coders. Luckily, this fun and accessible book makes it a snap to learn the skills necessary to help youngsters develop into proud, capable coders! Help with coding homework or enhance a coding curriculum Get familiar with coding logic and how to de-bug programs Complete small projects as you learn coding language Apply math skills to coding If you’re a parent, teacher, or mentor eager to help 8 to 14 year olds learn to speak a coding language like a mini pro, this book makes it possible!

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A unified view of metaheuristics This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling. It presents the main design questions for all families of metaheuristics and clearly illustrates how to implement the algorithms under a software framework to reuse both the design and code. Throughout the book, the key search components of metaheuristics are considered as a toolbox for: Designing efficient metaheuristics (e.g. local search, tabu search, simulated annealing, evolutionary algorithms, particle swarm optimization, scatter search, ant colonies, bee colonies, artificial immune systems) for optimization problems Designing efficient metaheuristics for multi-objective optimization problems Designing hybrid, parallel, and distributed metaheuristics Implementing metaheuristics on sequential and parallel machines Using many case studies and treating design and implementation independently, this book gives readers the skills necessary to solve large-scale optimization problems quickly and efficiently. It is a valuable reference for practicing engineers and researchers from diverse areas dealing with optimization or machine learning; and graduate students in computer science, operations research, control, engineering, business and management, and applied mathematics.

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This is the first book to explain the language Unified Parallel C and its use. Authors El-Ghazawi, Carlson, and Sterling are among the developers of UPC, with close links with the industrial members of the UPC consortium. Their text covers background material on parallel architectures and algorithms, and includes UPC programming case studies. This book represents an invaluable resource for the growing number of UPC users and applications developers. More information about UPC can be found at: http://upc.gwu.edu/ An Instructor Support FTP site is available from the Wiley editorial department.

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A Step-by-Step Guide to Verification of Digital Systems This practical book provides a step-by-step, interactive introduction to formal verification of systems and circuits. The book offers theoretical background and introduces the application of three powerful verification toolsets: LOTOS-based CADP, Petri nets–based PETRIFY, and CCS-based CWB. The book covers verification of modular asynchronous circuits, alternating-bit protocols, arbiters, pipeline controllers, up-down counters, and phase converters, as well as many other verification examples. Using the given detailed examples, exercises, and easy-to-follow tutorials, complete with the downloadable toolsets available via referenced Web sites, this book serves as an ideal text in advanced undergraduate and graduate courses in computer science and electrical engineering. It is also valuable as a desktop reference for practicing verification engineers who are interested in verifying that designed digital systems meet specifications and requirements.

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Software Paradigms provides the first complete compilation of software paradigms commonly used to develop large software applications, with coverage ranging from discrete problems to full-scale applications. The book focuses on providing a structure for understanding a hierarchy of software development approaches, and showing the relationships between the different models. Coverage includes paradigms in design patterns, software components, software architectures, and frameworks. Chapters within each of these sections include design issues related to building and using the paradigm as well as numerous real world applications. A practical overview of the hierarchy of development paradigms, Software Paradigms is an excellent teaching tool for undergraduates and graduates, and a comprehensive and reliable reference for software engineers.

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First title to ever present soft computing approaches and their application in data mining, along with the traditional hard-computing approaches Addresses the principles of multimedia data compression techniques (for image, video, text) and their role in data mining Discusses principles and classical algorithms on string matching and their role in data mining

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