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Training Guide: Configuring Advanced Windows Server 2012 Services
by Orin ThomasConfiguring Advanced Windows Server 2012 Services Designed to help enterprise administrators develop real-world, job-role-specific skills--this Training Guide focuses on advanced configuration of services necessary to deploy, manage and maintain a Windows Server 2012 infrastructure. Build hands-on expertise through a series of lessons, exercises, and suggested practices--and help maximize your performance on the job. This Microsoft Training Guide: Provides in-depth, hands-on training you take at your own pace Focuses on job-role-specific expertise for deploying and managing advanced infrastructure services in Windows Server 2012 Creates a foundation of skills which, along with on-the-job experience, can be measured by Microsoft Certification exams such as 70-412 Sharpen your skills. Increase your expertise. Configure full forest and domain trust relationships Configure Active Directory (AD) sites and manage AD replication Implement advanced DNS and DHCP solutions Install, configure, and manage AD Certificate Services Manage backups and recover servers Optimize storage and configure advanced file services Manage failover clustering and Network Load Balancing Move virtual machines from one Hyper-V server to another Implement Dynamic Access Control and Active Directory RMS Implement Active Directory Federation Services
Training Guide: Installing and Configuring Windows Server® 2012
by Mitch TullochDesigned to help enterprise administrators develop real-world, job-role-specific skills--this Training Guide focuses on deploying and managing core infrastructure services in Windows Server 2012. Build hands-on expertise through a series of lessons, exercises, and suggested practices--and help maximize your performance on the job. This Microsoft Training Guide:Provides in-depth, hands-on training you take at your own pace Focuses on job-role-specific expertise for deploying and managing Windows Server 2012 core services Creates a foundation of skills which, along with on-the-job experience, can be measured by Microsoft Certification exams such as 70-410 Coverage includes:Deploying Servers and Domain Controllers Remote Management Administering Active Directory Network Administration Using Group Policy Provisioning and Managing Storage Deploying Hyper-V Hosts Deploying and Managing Virtualized Workloads Deploying File Servers Managing Print Services which, along with on-the-job experience, can be measured by Microsoft Certification exams such as 70-410 Coverage includes:Deploying Servers and Domain Controllers Remote Management Administering Active Directory Network Administration Using Group Policy Provisioning and Managing Storage Deploying Hyper-V Hosts Deploying and Managing Virtualized Workloads Deploying File Servers Managing Print Services
Training Kit (Exam 70-461): Querying Microsoft SQL Server 2012
by Itzik Ben-Gan Ron Talmage Dejan SarkaAce your preparation for Microsoft® Certification Exam 70-461 with this 2-in-1 Training Kit from Microsoft Press®. Work at your own pace through a series of lessons and practical exercises, and then assess your skills with practice tests on CD--featuring multiple, customizable testing options. Maximize your performance on the exam by learning how to: Create database objects Work with data Modify data Troubleshoot and optimize queries You also get an exam discount voucher--making this book an exceptional value and a great career investment.
Training Kit (Exam 70-462): Administering Microsoft SQL Server 2012 Databases
by Orin Thomas Peter Ward Bob TaylorThis training kit is designed for information technology (IT) professionals who support or plan to support Microsoft SQL Server 2012 databases and who also plan to take Exam 70-462, "Administering Microsoft SQL Server 2012 Databases."
Training Law Enforcement Officers
by Rick D. GiovengoThis how-to guide covers every aspect of law enforcement training, from training academy administration, to designing curricula, to identifying and utilizing qualified instructors. Using the latest methodologies, technologies, and best practices, Training Law Enforcement Officers gives law enforcement administrators, training specialists, instructors, instructional systems designers, and academy directors a proven way to conduct training for all levels of practitioners, from basic law enforcement to high-risk law enforcement. At a time when scrutiny of law enforcement officers is on the rise, Training Law Enforcement Officers is an essential guide for those criminal justice practitioners seeking to minimize police error and make today’s police force the best that it can be.
Training Systems Using Python Statistical Modeling: Explore popular techniques for modeling your data in Python
by Curtis MillerLeverage the power of Python and statistical modeling techniques for building accurate predictive modelsKey FeaturesGet introduced to Python's rich suite of libraries for statistical modelingImplement regression, clustering and train neural networks from scratchIncludes real-world examples on training end-to-end machine learning systems in PythonBook DescriptionPython's ease of use and multi-purpose nature has led it to become the choice of tool for many data scientists and machine learning developers today. Its rich libraries are widely used for data analysis, and more importantly, for building state-of-the-art predictive models. This book takes you through an exciting journey, of using these libraries to implement effective statistical models for predictive analytics.You’ll start by diving into classical statistical analysis, where you will learn to compute descriptive statistics using pandas. You will look at supervised learning, where you will explore the principles of machine learning and train different machine learning models from scratch. You will also work with binary prediction models, such as data classification using k-nearest neighbors, decision trees, and random forests. This book also covers algorithms for regression analysis, such as ridge and lasso regression, and their implementation in Python. You will also learn how neural networks can be trained and deployed for more accurate predictions, and which Python libraries can be used to implement them.By the end of this book, you will have all the knowledge you need to design, build, and deploy enterprise-grade statistical models for machine learning using Python and its rich ecosystem of libraries for predictive analytics.What you will learnUnderstand the importance of statistical modelingLearn about the various Python packages for statistical analysisImplement algorithms such as Naive Bayes, random forests, and moreBuild predictive models from scratch using Python's scikit-learn libraryImplement regression analysis and clusteringLearn how to train a neural network in PythonWho this book is forIf you are a data scientist, a statistician or a machine learning developer looking to train and deploy effective machine learning models using popular statistical techniques, then this book is for you. Knowledge of Python programming is required to get the most out of this book.
Trajectories in Oceanography (Springer Oceanography)
by Emil StanevThis book presents the development of oceanography of European regional and coastal seas over the last 50 years. It describes the evolution of scientific practice alongside the technological development of measurements and computer modelling. Emphasis is placed on transformation of basic research into applied science and services. This reflects the growing public awareness of ocean issues. The recent advancements in the field of operational oceanography are presented as an important scientific response to the needs of environmental protection and sustainable development. The book could be of interest to scientists and students in various fields of oceanography, to practitioners in the field, and to the general readership interested in environmental sciences.
Trajectory Optimization and Guidance Methods for Mars Entry
by Shuang Li Xu Liu Xiu-qiang Jiang Yu-ming PengThis book systematically investigates the Mars entry problem from the perspectives of deterministic optimization, uncertainty optimization, and guidance. Began with a detailed review of the robotic missions and human-scaled exploration plans to Mars, theories or concepts of optimal control, uncertainty quantification, robust optimization, model predictive control, sequential convex programming, and computational guidance are subsequently introduced. Correspondingly, this book presents a series of trajectory planning and guidance algorithms to improve the robustness, reliability, and safety of the Mars missions. Because the Mars entry problem is studied using advanced mathematics, including probability theory, optimization theory, and cybernetics, thus the book is primarily designed as a textbook for graduate students in aerospace engineering, aeronautics, and astronautics departments. Engineers and researchers may also use this book as a reference or tutorial to help with the modeling and simulation of the Mars entry problem due to its thorough simulations and analyses.
La trampa de internet: Cómo la economía digital construye monopolios y destruye la democracia
by Matthew HindmanNos dijeron que Internet fragmentaría las audiencias y hacía que los monopolios de los medios fueran imposibles. En cambio, gigantes como Google y Facebook ahora dominan casi todo el tiempo que pasamos en línea y obtienen todos los beneficios de la economía de la atención. La trampa de la Internet explica cómo sucedió esto. Este libro provocativo y oportuno arroja luz sobre el sorprendente aumento de los gigantes digitales y las luchas en línea de casi todos los demás.Este libro revela el gran impacto de las fuentes de noticias en línea para la democracia y la economía de mercado. Utiliza datos nuevos y actualizados sobre el tráfico de la página web y la vida útil del sitio web. El argumento del libro atraerá a audiencias fuera del mundo académico, con aplicaciones prácticas sobre cómo puede la gente Entender el mundo de las noticias online.La información expuesta en el libro está debidamente sustentada con fuentes de información confiables. Está avalado por un gran trabajo de investigación y capacidad de análisis de datos, el texto se atiene principalmente a un análisis cuantitativo; sin embargo, cuando es preciso explicar fenómenos sociales, el autor no tiene problema para demostrar de forma cualitativa la relevancia de los datos expuestos. Presenta tablas que sintetizan la información y está redactado de forma sencilla y clara.
Trandisciplinary Multispectral Modelling and Cooperation for the Preservation of Cultural Heritage: Second International Conference, TMM_CH 2021, Athens, Greece, December 13–15, 2021, Revised Selected Papers (Communications in Computer and Information Science #1574)
by Antonia Moropoulou Andreas Georgopoulos Anastasios Doulamis Marinos Ioannides Alfredo RonchiThis volume constitutes selected and revised papers presented during the Second International Conference on Trandisciplinary Multispectral Modelling and Cooperation for the Preservation of Cultural Heritage, TMM_CH 2021, held in Athens, Greece, in December 2021. The 17 full papers and 6 short papers presented in ths volume were thoroughly reviewed and selected from 310 submissions. The papers are organized in topical sections on scientific innovations in the diagnosis and preservation of cultural heritage; digital heritage a holistic approach; preservation, reuse and reveal of cultural heritage through sustainable land management, rural and urban development to recapture the world in crisis through culture.
Trans-National English in Social Media Communities
by Jennifer Dailey-O’CainThis book explores the use of English within otherwise local-language conversations by two continental European social media communities. The analysis of these communities serves not only as a comparison of online language practices, but also as a close look at how globalization phenomena and ‘international English’ play out in the practices of everyday life in different non-English-speaking countries. The author concludes that the root of the distinctive practices in the two communities studied is the disparity between their language ideologies. She argues that community participants draw on their respective national language ideologies, which have developed over centuries, but also reach beyond any static forms of those ideologies to negotiate, contest, and re-evaluate them. This book will be of interest to linguists and other social scientists interested in social media, youth language and the real-world linguistic consequences of globalization.
Transact-SQL Cookbook
by Jonathan Gennick Ales SpeticThis unique cookbook contains a wealth of solutions to problems that SQL programmers face all the time. The recipes inside range from how to perform simple tasks, like importing external data, to ways of handling issues that are more complicated, like set algebra. Authors Ales Spetic and Jonathan Gennick, two authorities with extensive database and SQL programming experience, include a discussion with each recipe to explain the logic and concepts underlying the solution. SQL (Structured Query Language) is the closest thing to a standard query language that currently exists, and Transact-SQL -- a full-featured programming language that dramatically extends the power of SQL -- is the procedural language of choice for both Microsoft SQL Server and Sybase SQL Server systems. The Transact-SQL Cookbook is designed so you can use the recipes directly, as a source of ideas, or as a way to learn a little more about SQL and what you can do with it. Topics covered include: Audit logging. In addition to recipes for implementing an audit log, this chapter also includes recipes for: improving performance where large log tables are involved; supporting multiple-languages; and simulating server push. Hierarchies. Recipes show you how to manipulate hierarchical data using Transact-SQL. Importing data. This chapter introduces concepts like normalization and recipes useful for working with imported data tables. Sets. Recipes demonstrate different operations, such as how to find common elements, summarize the data in a set, and find the element in a set that represents an extreme. Statistics. This chapter?s recipes show you how to effectively use SQL for common statistical operations from means and standard deviations to weighted moving averages. Temporal data. Recipes demonstrate how to construct queries against time-based data. Data Structures. This chapter shows how to manipulate data structures like stacks, queues, matrices, and arrays. With an abundance of recipes to help you get your job done more efficiently, the Transact-SQL Cookbook is sure to become an essential part of your library.
Transaction-Level Power Modeling
by Amr Baher Darwish Magdy Ali El-Moursy Mohamed Amin DessoukyThis book describes for readers a methodology for dynamic power estimation, using Transaction Level Modeling (TLM). The methodology exploits the existing tools for RTL simulation, design synthesis and SystemC prototyping to provide fast and accurate power estimation using Transaction Level Power Modeling (TLPM). Readers will benefit from this innovative way of evaluating power on a high level of abstraction, at an early stage of the product life cycle, decreasing the number of the expensive design iterations.
Transactional Distance and Adaptive Learning: Planning for the Future of Higher Education
by Farhad Saba Rick L. ShearerTransactional Distance and Adaptive Learning takes a fresh look at one of the pioneering educational theories that accommodates the impact of information and communications technologies in learning. The theory of transactional distance (TTD) provides a distinct analytical and planning foundation for educators to conduct an overarching inquiry into transitioning from mass instructional and management systems in higher education to dynamic and transformational futures that focus on each individual learner. Based on the TTD, this pragmatic approach offers instructors, administrators, students, and other stakeholders a comprehensive planning method to assess the current state of their instructional, learning, and management practices and to develop alternative models to prescribe future improvements in their institution. This complex, self-organized, and adaptive method includes current and emergent properties of: hardware, software, and telecommunications systems that allow faculty, students, and administrators to communicate; instructional and curriculum systems that provide teaching and learning environments for faculty and students; and management, societal, and global systems that influence how institutions are supported, funded, and managed.
Transactional Machine Learning with Data Streams and AutoML: Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka in the Cloud Using Python
by Sebastian MauriceUnderstand how to apply auto machine learning to data streams and create transactional machine learning (TML) solutions that are frictionless (require minimal to no human intervention) and elastic (machine learning solutions that can scale up or down by controlling the number of data streams, algorithms, and users of the insights). This book will strengthen your knowledge of the inner workings of TML solutions using data streams with auto machine learning integrated with Apache Kafka. Transactional Machine Learning with Data Streams and AutoML introduces the industry challenges with applying machine learning to data streams. You will learn the framework that will help you in choosing business problems that are best suited for TML. You will also see how to measure the business value of TML solutions. You will then learn the technical components of TML solutions, including the reference and technical architecture of a TML solution. This book also presents a TML solution template that will make it easy for you to quickly start building your own TML solutions. Specifically, you are given access to a TML Python library and integration technologies for download. You will also learn how TML will evolve in the future, and the growing need by organizations for deeper insights from data streams. By the end of the book, you will have a solid understanding of TML. You will know how to build TML solutions with all the necessary details, and all the resources at your fingertips. What You Will Learn Discover transactional machine learning Measure the business value of TML Choose TML use cases Design technical architecture of TML solutions with Apache Kafka Work with the technologies used to build TML solutions Build transactional machine learning solutions with hands-on code together with Apache Kafka in the cloud Who This Book Is For Data scientists, machine learning engineers and architects, and AI and machine learning business leaders.
Transactions on Aspect-Oriented Software Development XII
by Shigeru Chiba Éric Tanter Erik Ernst Robert HirschfeldThe LNCS journal Transactions on Aspect-Oriented Software Development is devoted to all facets of aspect-oriented software development (AOSD) techniques in the context of all phases of the software life cycle, from requirements and design to implementation, maintenance and evolution. The focus of the journal is on approaches for systematic identification, modularization, representation, and composition of crosscutting concerns, i. e. , the aspects and evaluation of such approaches and their impact on improving quality attributes of software systems. This volume, the 12th in the Transactions on Aspect-Oriented Software Development series, contains one regular paper, on modular reasoning in aspect-oriented languages from a substitution perspective, and four extended, improved papers selected from those presented at Modularity 2014. Topics covered include novel dynamic semantics through delegation proxies, modularity potential detection based on co-change clusters, improvements in reusability for components of semantic specifications of programming languages, and probabilistic model checking applied to dynamically generated members of a product line.
Transactions on Computational Collective Intelligence XIV
by Ngoc Thanh NguyenThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc. , aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This 14th issue contains 9 carefully selected and thoroughly revised contributions.
Transactions on Computational Collective Intelligence XIV (Lecture Notes in Computer Science #8615)
by Ngoc Thanh NguyenThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This 14th issue contains 9 carefully selected and thoroughly revised contributions.
Transactions on Computational Collective Intelligence XIX
by Fatos Xhafa Ryszard Kowalczyk Ngoc Thanh NguyenThesetransactions publish research in computer-based methods of computationalcollective intelligence (CCI) and their applications in a wide range of fieldssuch as the semantic Web, social networks, and multi-agent systems. TCCIstrives to cover new methodological, theoretical and practical aspects of CCIunderstood as the form of intelligence that emerges from the collaboration and competitionof many individuals (artificial and/or natural). The application of multiplecomputational intelligence technologies, such as fuzzy systems, evolutionarycomputation, neural systems, consensus theory, etc. , aims to support human andother collective intelligence and to create new forms of CCI in natural and/orartificial systems. This nineteenth issue contains 11 carefully selected andrevised contributions.
Transactions on Computational Collective Intelligence XV (Lecture Notes in Computer Science #8670)
by Ngoc Thanh Nguyen, Ryszard Kowalczyk, Juan Manuel Corchado and Javier BajoThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the Semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This 15th issue contains extended and revised versions of the best papers presented at the International Conference on Practical Applications on Agents and Multi-Agent Systems (PAAMS 2012 and PAAMS 2013) held in Salamanca, Spain.
Transactions on Computational Collective Intelligence XV
by Ngoc Thanh Nguyen Ryszard Kowalczyk Juan Manuel Corchado Javier BajoThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the Semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc. , aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This 15th issue contains extended and revised versions of the best papers presented at the International Conference on Practical Applications on Agents and Multi-Agent Systems (PAAMS 2012 and PAAMS 2013) held in Salamanca, Spain.
Transactions on Computational Collective Intelligence XVI
by Ryszard Kowalczyk Ngoc Thanh NguyenThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc. , aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This 16th issue contains 8 regular papers selected via peer-review process.
Transactions on Computational Collective Intelligence XVI (Lecture Notes in Computer Science #8780)
by Ryszard Kowalczyk and Ngoc Thanh NguyenThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This 16th issue contains 8 regular papers selected via peer-review process.
Transactions on Computational Collective Intelligence XVII
by Ngoc Thanh Nguyen Ryszard Kowalczyk Ana Fred Filipe JoaquimThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc. , aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems.
Transactions on Computational Collective Intelligence XVIII
by Ngoc Thanh NguyenThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc. , aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This eighteenth issue contains 9 carefully selected and revised contributions.