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Digital Technologies in Education: Selected Cases (Studies in Systems, Decision and Control #529)
by Rostyslav Shchokin Anna Iatsyshyn Valeriia Kovach Artur ZaporozhetsAmong the technologies that significantly change the modern world of human existence, it is worth mentioning, first of all, digital technologies. These technologies are actively and relentlessly implemented and integrated into all spheres of human activity and society, becoming a powerful catalyst and a determining source of social development. According to such a scenario of development, society acquires the features of digital, thus defining digital technologies as its leading technology. This process is called the digital transformation of society. The wide use of digital technologies to provide free access to information and knowledge is a basic principle of the digital society. Digital society significantly changes traditional ideas about work, education, culture, communication, social and political life. The development of citizens' digital culture is the main condition for the successful construction of a digital society. Therefore, it is important to carry out scientific research and targeted training to improve the qualifications of specialists in various branches of the economy, in particular, educators and scientists to acquire digital competence. After all, these specialists are key figures in ensuring the process of digitalization of education and science. The book presents various aspects of the digital transformation of education and science. A comprehensive view of the current state and prospects of the use of digital technologies for education and science is provided. The experience of using digital technologies and tools for training and improving the qualifications of specialists of various specialties, as well as for the preparation of future PhDs, is described. The book is addressed to education workers, managers, scientists, graduate students, librarians, and all those who are interested in the process of digital transformation of education and science.
Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2024 Workshops, RAFDA and IWTA, Taipei, Taiwan, May 7–10, 2024, Proceedings (Lecture Notes in Computer Science #14658)
by Zhaoxia Wang Chang Wei TanThis book constitutes the workshops that have been held in conjunction with the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan, during May 25–28, 2023. For RAFDA 2024, Workshop on Research and Applications of Foundation Models for Data Mining and Affective Computing, 15 submissions have been received and 9 full papers have been accepted for publication. For IWTA 2024, International Workshop on Temporal Analytics, 4 full papers have been accepted from a total of 6 submissions.
Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers (Wiley and SAS Business Series)
by Iain BrownUnlock the Power of Data: Transform Your Marketing Strategies with Data Science In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data science and marketing analytics, offers a comprehensive journey through the cutting-edge methodologies and applications that are defining the future of marketing. This book bridges the gap between theoretical data science concepts and their practical applications in marketing, providing readers with the tools and insights needed to elevate their strategies in a data-driven world. Whether you're a master's student, a marketing professional, or a data scientist keen on applying your skills in a marketing context, this guide will empower you with a deep understanding of marketing data science principles and the competence to apply these principles effectively. Comprehensive Coverage: From data collection to predictive analytics, NLP, and beyond, explore every facet of marketing data science. Practical Applications: Engage with real-world examples, hands-on exercises in both Python & SAS, and actionable insights to apply in your marketing campaigns. Expert Guidance: Benefit from Dr. Iain Brown's decade of experience as he shares cutting-edge techniques and ethical considerations in marketing data science. Future-Ready Skills: Learn about the latest advancements, including generative AI, to stay ahead in the rapidly evolving marketing landscape. Accessible Learning: Tailored for both beginners and seasoned professionals, this book ensures a smooth learning curve with a clear, engaging narrative. Mastering Marketing Data Science is designed as a comprehensive how-to guide, weaving together theory and practice to offer a dynamic, workbook-style learning experience. Dr. Brown's voice and expertise guide you through the complexities of marketing data science, making sophisticated concepts accessible and actionable.
The Machine Learning Solutions Architect Handbook: Practical strategies and best practices on the ML lifecycle, system design, MLOps, and generative AI
by David PingDesign, build, and secure scalable machine learning (ML) systems to solve real-world business problems with Python and AWS Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesGo in-depth into the ML lifecycle, from ideation and data management to deployment and scalingApply risk management techniques in the ML lifecycle and design architectural patterns for various ML platforms and solutionsUnderstand the generative AI lifecycle, its core technologies, and implementation risksBook DescriptionDavid Ping, Head of GenAI and ML Solution Architecture for global industries at AWS, provides expert insights and practical examples to help you become a proficient ML solutions architect, linking technical architecture to business-related skills. You'll learn about ML algorithms, cloud infrastructure, system design, MLOps , and how to apply ML to solve real-world business problems. David explains the generative AI project lifecycle and examines Retrieval Augmented Generation (RAG), an effective architecture pattern for generative AI applications. You’ll also learn about open-source technologies, such as Kubernetes/Kubeflow, for building a data science environment and ML pipelines before building an enterprise ML architecture using AWS. As well as ML risk management and the different stages of AI/ML adoption, the biggest new addition to the handbook is the deep exploration of generative AI. By the end of this book , you’ll have gained a comprehensive understanding of AI/ML across all key aspects, including business use cases, data science, real-world solution architecture, risk management, and governance. You’ll possess the skills to design and construct ML solutions that effectively cater to common use cases and follow established ML architecture patterns, enabling you to excel as a true professional in the field.What you will learnApply ML methodologies to solve business problems across industriesDesign a practical enterprise ML platform architectureGain an understanding of AI risk management frameworks and techniquesBuild an end-to-end data management architecture using AWSTrain large-scale ML models and optimize model inference latencyCreate a business application using artificial intelligence services and custom modelsDive into generative AI with use cases, architecture patterns, and RAGWho this book is forThis book is for solutions architects working on ML projects, ML engineers transitioning to ML solution architect roles, and MLOps engineers. Additionally, data scientists and analysts who want to enhance their practical knowledge of ML systems engineering, as well as AI/ML product managers and risk officers who want to gain an understanding of ML solutions and AI risk management, will also find this book useful. A basic knowledge of Python, AWS, linear algebra, probability, and cloud infrastructure is required before you get started with this handbook.
Artificial Intelligence for Robotics: Build intelligent robots that perform human tasks using AI techniques
by Francis X. GoversBring a new degree of interconnectivity to your world by building your own intelligent robots Key Features Leverage fundamentals of AI and robotics Work through use cases to implement various machine learning algorithms Explore Natural Language Processing (NLP) concepts for efficient decision making in robots Book Description Artificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills. As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks. By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence. What you will learn Get started with robotics and artificial intelligence Apply simulation techniques to give your robot an artificial personality Understand object recognition using neural networks and supervised learning techniques Pick up objects using genetic algorithms for manipulation Teach your robot to listen using NLP via an expert system Use machine learning and computer vision to teach your robot how to avoid obstacles Understand path planning, decision trees, and search algorithms in order to enhance your robot Who this book is for If you have basic knowledge about robotics and want to build or enhance your existing robot's intelligence, then Artificial Intelligence for Robotics is for you. This book is also for enthusiasts who want to gain knowledge of AI and robotics.
The Professional Scrum Master (PSM I) Guide: Successfully practice Scrum with real-world projects and achieve your PSM I certification with confidence
by Fred HeathGo from absolute beginner to passing your PSM I exam first time with this comprehensive guide. Packed with practical examples, this book is updated for the latest Scrum guidelines to turn you into a Scrum Master!Key FeaturesGo from absolute beginner to exam-ready with detailed explorations of Scrum use-casesUnderstand the different applications of agile concepts, and how to best apply them to your businessDiscover expert tips and work with real-world examples to pass the PSM I certification exam first timeBook DescriptionEver wondered why you'd use Scrum over other process frameworks? Or what makes Agile just so agile? Or why you should bother with the PSM certification? This book has you covered.The Professional Scrum Master (PSM I) Guide is a comprehensive tutorial that will not only introduce you to the basics of Scrum, but build you up to be ready to pass your PSM I exam first time round. Where other books avoid detail, this guide provides you with detailed practical examples to take you from being an apprentice to becoming a master.Assuming you're a total beginner, this book will introduce you to Scrum methodologies with detailed use cases, teaching you the secrets of Scrum in such a way that you'll be well-equipped for the PSM I exam.This book demonstrates the real-world applications of Scrum in a variety of scenarios, all with practical examples.You'll understand why the structure of your Scrum team matters, what you can achieve with properly planned sprints, and how to create and manage sprint and product backlogs. The chapters are regularly concluded with quizzes relevant to the exam, reinforcing the values you learn on your journey. Finally, it concludes with some exam preparation and myth-dispelling to make sure you have an edge when it comes to earning your certificate. This is a guide that'll ensure you won't fall behind in an ever increasingly agile world.What you will learnGet to grips with Agile development and Scrum from the ground upUnderstand the roles and responsibilities within the Scrum teamDiscover how to conduct Scrum events and create Scrum artifactsExplore real-world scenarios and use cases for Scrum in actionDevelop an in-depth understanding of how to run a successful sprint to deliver results quicklyBe fully prepared and able to pass your PSM I exam first timeWho this book is forAssuming no prior knowledge of Scrum, this book is for professionals who want to build a strong foundation in Scrum practices with the intention of passing the PSM I exam. If you're a product owner or project manager looking to stay relevant in an agile world, this book is essential to helping you become a Scrum Master.
Serverless ETL and Analytics with AWS Glue: Your comprehensive reference guide to learning about AWS Glue and its features
by Vishal Pathak Subramanya Vajiraya Noritaka Sekiyama Tomohiro Tanaka Albert QuirogaBuild efficient data lakes that can scale to virtually unlimited size using AWS GlueKey FeaturesLearn to work with AWS Glue to overcome typical implementation challenges in data lakesCreate and manage serverless ETL pipelines that can scale to manage big dataWritten by AWS Glue community members, this practical guide shows you how to implement AWS Glue in no timeBook DescriptionOrganizations these days have gravitated toward services such as AWS Glue that undertake undifferentiated heavy lifting and provide serverless Spark, enabling you to create and manage data lakes in a serverless fashion. This guide shows you how AWS Glue can be used to solve real-world problems along with helping you learn about data processing, data integration, and building data lakes.Beginning with AWS Glue basics, this book teaches you how to perform various aspects of data analysis such as ad hoc queries, data visualization, and real-time analysis using this service. It also provides a walk-through of CI/CD for AWS Glue and how to shift left on quality using automated regression tests. You'll find out how data security aspects such as access control, encryption, auditing, and networking are implemented, as well as getting to grips with useful techniques such as picking the right file format, compression, partitioning, and bucketing. As you advance, you'll discover AWS Glue features such as crawlers, Lake Formation, governed tables, lineage, DataBrew, Glue Studio, and custom connectors. The concluding chapters help you to understand various performance tuning, troubleshooting, and monitoring options.By the end of this AWS book, you'll be able to create, manage, troubleshoot, and deploy ETL pipelines using AWS Glue.What you will learnApply various AWS Glue features to manage and create data lakesUse Glue DataBrew and Glue Studio for data preparationOptimize data layout in cloud storage to accelerate analytics workloadsManage metadata including database, table, and schema definitionsSecure your data during access control, encryption, auditing, and networkingMonitor AWS Glue jobs to detect delays and loss of dataIntegrate Spark ML and SageMaker with AWS Glue to create machine learning modelsWho this book is forThis book is for ETL developers, data engineers, and data analysts who want to understand how AWS Glue can help you solve your business problems. Basic knowledge of AWS data services is assumed.
AI-Generated Popular Culture: A Semiotic Perspective
by Marcel DanesiThis book gives a general overview of Artificial Intelligence as it is impacting on the world of the arts and culture. What is AI-generated pop culture? What does a movie, a musical work, a novel, or song created entirely by a generative AI imply in terms of our notions of creativity? What is the semiotic dynamic (the meaning-making impulse that humans imprint in sign and textual forms) that is involved in an AI-produced work? No comprehensive treatment exists of the profound implications that AI-generated pop culture entails, including how it might affect cultural evolution and how we interpret artistic artifacts. Such a treatment is critical at this moment, and this book aims to fill this gap.
Robot 2023: Advances in Robotics, Volume 1 (Lecture Notes in Networks and Systems #976)
by Lino Marques Cristina Santos José Luís Lima Danilo Tardioli Manuel FerreThis text will be replaced by the correct backcovertext / informationtext as soon as we get it.
Advancements in Urban Environmental Studies: Application of Geospatial Technology and Artificial Intelligence in Urban Studies (GIScience and Geo-environmental Modelling)
by Atiqur Rahman Shouraseni Sen Roy Swapan Talukdar ShahfahadAccording to UN estimates, approximately nearly half of the world's population now lives in cities and that figure is expected to rise to almost 70% by 2050. Cities now account for around 70% of worldwide greenhouse gas emissions, and this percentage is predicted to rise in the near future as a result of projected increases in global urbanization patterns. It is widely acknowledged that irrational urban planning and design can increase emissions while also exacerbating threats and risks, resulting in a slew of environmental issues such as urban heat islands, air pollution, flooding, amongst other issues, as well as environmental, social, and economic losses. Therefore, these concerns must be addressed promptly in order to cope up with these rising difficulties and make urban environments safer for residents. With the advancement of remote sensing technology and the use of current remote observation systems, urban data science, remote sensing, and artificial intelligence (AI), modeling and quantifying emergent difficulties in urban regions and urban systems have become easy. They aid in the quantitative analysis of urban shape, functions, and human behavior in cities. Harvesting data, developing models, and suggesting new methodologies will be aided by combining urban ecology with new breakthroughs in data science. This book is of great value to a diverse group of academicians, scientists, students, environmentalists, meteorologists, urban planners, remote sensing and GIS experts with a common interest in geospatial sciences within the earth environmental sciences, as well as human and social sciences.
Grundkurs Datenbankentwicklung: Von der Anforderungsanalyse zur komplexen Datenbankanfrage
by Stephan KleukerMit diesem Buch erhalten Studierende einen kompakten und praxisorientierten Einstieg, mit dem sie bereits früh im Studium sehr gut zurechtkommen. Die verschiedenen Phasen einer Datenbankentwicklung werden mit ihren Vorgehensweisen, Konzepten und möglichen Problemquellen vorgestellt. Gerade die Anforderungsanalyse und die Möglichkeit zur Erstellung mächtiger SQL-Anfragen werden als besonders praxisrelevante Aspekte betont. Durch die im zweiten Teil detailliert vorgestellte Integration von Datenbanken in die umgebende Software sind Studierende nach der Lektüre in der Lage, in Praxisprojekten erfolgreich mitzuarbeiten. Das Buch deckt inhaltlich eine Einführungsvorlesung vollständig ab. Die 5. Auflage wurde um das Thema JPA (Objekt-Relationale-Persistenz), Trigger in Java ergänzt. Zusätzlich werden Unterschiede zwischen Oracle, Maria DB, SQLite und Apache Derby erläutert. Neben vielen kleinen Beispielen zur Verdeutlichung einzelner Aspekte wird ein durchgehendes Beispiel genutzt. Alle Kapitel schließen mit Wiederholungsfragen und Übungsaufgaben, deren Lösungen online zum Download zur Verfügung stehen.
Digital Transformation: Technology, Tools, and Studies (Intelligent Systems Reference Library #253)
by Lucian-Ionel Cioca Larisa Ivascu Florin Gheorghe Filip Banciu DoinaThis book presents a multidisciplinary approach to digital transformation process of organizational transformation, offering support throughout the implementation process to all those interested. The digital transformation (DT) is a priority for many companies in the context of technological evolution. The use of appropriate tools, methodologies, methods, approaches, and techniques for DT, depending on the organizational characteristics, can contribute to a complete approach to organizational processes and to their efficiency. Digital transformation involves the adoption and use of new digital technologies to develop new products and services, modify existing ones and develop new business models to increase efficiency, productivity, and competitiveness. Starting from marketing to culture and education to health, automotive, engineering, mobility and human resources and others, it is addressed to professionals, practitioners, researchers, students, and other interested parties.
Digital Transformation in Higher Education Institutions (EAI/Springer Innovations in Communication and Computing)
by Andreia de Bem Machado Maria José Sousa Francesca Dal Mas Silvana Secinaro Davide CalandraThis book analyzes digital technologies being used in the teaching-learning process. The authors show how the use of AI in higher education can provide personalized education through the automation of administrative teaching tasks, software programs that favor the detection of topics that need reinforcement in the classroom, the guidance and support of students outside the classroom, and the use of data intelligently to teach and support students. In addition, the authors show how to further personalize education with the use of augmented reality, adaptive platforms, intelligent tutor systems, Chatbots, adaptive learning, computer aided instruction, MOOCs, and robotics. The authors answer questions such as: What sustainable educational technologies can be used in the teaching-learning process; How can Blockchain technology and AI be applied in higher education; How can the metaverse be applied in virtual learning environments? The book is relevant to researchers, professionals, andstudents interested in technology and education.
Oracle Cloud Infrastructure (OCI) GoldenGate: Real-world Examples
by Y V Ravi Kumar Raghavendra S Ankur GoelThis book focuses on the utilization of GoldenGate Services (GGS) in conjunction with a microservices architecture on the Oracle cloud (OCI), primarily for data migration and integration across various data sources and targets.The book begins with a practical example of utilizing GGS on a Marketplace VM, progressively advancing to in-depth discussions on implementing GoldenGate as a Service on OCI. The book offers illustrative guides for data replication between RDBMSs (such as Oracle, Postgres, and big data targets such as Kafka). Additionally, it explores monitoring techniques using Enterprise Manager and Grafana dashboards. A comparative analysis is presented between traditional VM-based GoldenGate installations and the OCI service model. Special attention is given to Zero Downtime Migration (ZDM) and leveraging GGS for database migration from on-premises to OCI. Some chapters address multi-cloud replication using OCI GGS and include real-life case studies.By the end of this book you will have gained comprehensive insights into the architectural design of GoldenGate Services and will be adept at replicating data using GGS, enabling you to replicate setups in your own environments.What You Will LearnSet up GoldenGate Services for high availability (HA), disaster recovery (DR), migration of data to cloud, and moving data into the data lake or lakehousePerform logical migration of data to the cloud using the ZDM tool (ZDM uses GoldenGate internally).Replicate data to big data targetsMonitor GGS using Enterprise Manager and GrafanaReplicate data in a multi-cloud environment Who This Book Is ForOracle database administrators who want to replicate data or use Oracle GoldenGate Services for migration and setup of high availability (HA) and disaster recovery (DR); and data engineers who want tobuild the data warehouse, data lake, data lakehouse to push data in near real-time
Robot 2023: Advances in Robotics, Volume 2 (Lecture Notes in Networks and Systems #978)
by Lino Marques Cristina Santos José Luís Lima Danilo Tardioli Manuel FerreThis book contains a selection of papers accepted for presentation and discussion at ROBOT2023, the Sixth Iberian Robotics Conference, held in the University of Coimbra, Coimbra, Portugal, during November 22nd-24th, 2023. ROBOT2023 is part of a series of conferences that are jointly organized by Sociedade Portuguesa de Robótica (SPR) / Portuguese Society for Robotics and by Sociedad Española para la Investigación y Desarrollo en Robótica (SEIDROB) / Spanish Society for Research and Development in Robotics. These conferences, now occurring with a yearly periodicity, provide a forum to roboticists mostly from Iberia, but also from other parts of the world, to present and discuss their research results, new developments, and applications in the field of Robotics. The volume 1 of this book contains 45 papers addressing fundamental aspects of mobile robotics and robot manipulation while volume 2 contains 45 papers covering the application of robotics in different domains and environments.
Learning SAS by Example: A Programmer's Guide
by Ron CodyLearn to program SAS by example! Learning SAS by Example: A Programmer’s Guide, Second Edition, teaches SAS programming from very basic concepts to more advanced topics. Because most programmers prefer examples rather than reference-type syntax, this book uses short examples to explain each topic. The second edition has brought this classic book on SAS programming up to the latest SAS version, with new chapters that cover topics such as PROC SGPLOT and Perl regular expressions. This book belongs on the shelf (or e-book reader) of anyone who programs in SAS, from those with little programming experience who want to learn SAS to intermediate and even advanced SAS programmers who want to learn new techniques or identify new ways to accomplish existing tasks. <P><P>In an instructive and conversational tone, author Ron Cody clearly explains each programming technique and then illustrates it with one or more real-life examples, followed by a detailed description of how the program works. The text is divided into four major sections: Getting Started, DATA Step Processing, Presenting and Summarizing Your Data, and Advanced Topics. Subjects addressed include
Modern Data Analytics in Excel: Using Power Query, Power Pivot, And More For Enhanced Data Analytics
by George MountIf you haven't modernized your data cleaning and reporting processes in Microsoft Excel, you're missing out on big productivity gains. And if you're looking to conduct rigorous data analysis, more can be done in Excel than you think. This practical book serves as an introduction to the modern Excel suite of features along with other powerful tools for analytics.George Mount of Stringfest Analytics shows business analysts, data analysts, and business intelligence specialists how to make bigger gains right from your spreadsheets by using Excel's latest features. You'll learn how to build repeatable data cleaning workflows with Power Query, and design relational data models straight from your workbook with Power Pivot. You'll also explore other exciting new features for analytics, such as dynamic array functions, AI-powered insights, and Python integration.Learn how to build reports and analyses that were previously difficult or impossible to do in Excel. This book shows you how to:Build repeatable data cleaning processes for Excel with Power QueryCreate relational data models and analysis measures with Power PivotPull data quickly with dynamic arraysUse AI to uncover patterns and trends from inside ExcelIntegrate Python functionality with Excel for automated analysis and reporting
Effective TypeScript
by Dan VanderkamTypeScript is a typed superset of JavaScript with the potential to solve many of the headaches for which JavaScript is famous. But TypeScript has a learning curve of its own, and understanding how to use it effectively takes time and practice. Using the format popularized by Effective C++ and Effective Java (both Addison-Wesley), this practical book features 83 items that give specific advice on what to do and what not to do, and how to think about the language. Author Dan Vanderkam shows you how to apply each item's advice through concrete examples. This book will help you advance from a beginning or intermediate user familiar with TypeScript basics to an expert who knows how to use the language well. Updated for TypeScript 5, this second edition includes two new chapters on type-level programming and TypeScript recipes.Learn the nuts and bolts of TypeScript's type systemUse type inference to get full safety with a minimum of type annotationsDesign types to make your code safer and more understandableModel complex APIs using generic types and type-level programmingUnderstand how dependencies and type declaration files work in TypeScriptSuccessfully migrate your JavaScript code base to TypeScript
Fuzzy Learning and Applications (International Series on Computational Intelligence)
by Marco RussoWith low computational complexity and relatively short development time, Fuzzy Logic is an indispensable tool for engineering applications. The field is growing at an unprecedented rate, and there is a need for a book that describes essential tools, applications, examples, and perspectives in the field of fuzzy learning. The editors of Fuzzy Learni
Responsible Use of AI in Military Systems (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
by Jan Maarten SchraagenArtificial Intelligence (AI) is widely used in society today. The (mis)use of biased data sets in machine learning applications is well‑known, resulting in discrimination and exclusion of citizens. Another example is the use of non‑transparent algorithms that can’t explain themselves to users, resulting in the AI not being trusted and therefore not being used when it might be beneficial to use it.Responsible Use of AI in Military Systems lays out what is required to develop and use AI in military systems in a responsible manner. Current developments in the emerging field of Responsible AI as applied to military systems in general (not merely weapons systems) are discussed. The book takes a broad and transdisciplinary scope by including contributions from the fields of philosophy, law, human factors, AI, systems engineering, and policy development.Divided into five sections, Section I covers various practical models and approaches to implementing military AI responsibly; Section II focuses on liability and accountability of individuals and states; Section III deals with human control in human‑AI military teams; Section IV addresses policy aspects such as multilateral security negotiations; and Section V focuses on ‘autonomy’ and ‘meaningful human control’ in weapons systems.Key Features: Takes a broad transdisciplinary approach to responsible AI Examines military systems in the broad sense of the word Focuses on the practical development and use of responsible AI Presents a coherent set of chapters, as all authors spent two days discussing each other’s work This book provides the reader with a broad overview of all relevant aspects involved with the responsible development, deployment and use of AI in military systems. It stresses both the advantages of AI as well as the potential downsides of including AI in military systems.
Learn R: As a Language (Chapman & Hall/CRC The R Series)
by Pedro J. AphaloLearning a computer language like R can be either frustrating, fun or boring. Having fun requires challenges that wake up the learner’s curiosity but also provide an emotional reward for overcoming them. The book is designed so that it includes smaller and bigger challenges, in what I call playgrounds, in the hope that all readers will enjoy their path to R fluency. Fluency in the use of a language is a skill that is acquired through practice and exploration. For students and professionals in the biological sciences, humanities and many applied fields, recognizing the parallels between R and natural languages should help them feel at home with R. The approach I use is similar to that of a travel guide, encouraging exploration and describing the available alternatives and how to reach them. The intention is to guide the reader through the R landscape of 2024 and beyond.What is new in the second edition? Text expanded by more than 25% to include additional R features and gentler and more detailed explanations Contains 24 new diagrams and flowcharts, seven new tables, and revised text and code examples for clarity All three indexes were expanded, and answers to 28 frequently asked questions added What will you find in this book? Programming concepts explained as they apply to current R Emphasis on the role of abstractions in programming Few prescriptive rules—mostly the author’s preferences together with alternatives Presentation of the R language emphasizing the “R way of doing things” Tutoring for “programming in the small” using scripts for data analysis Explanation of the differences between R proper and extensions for data wrangling The grammar of graphics is described as a language for the construction of data visualisations Examples of data exchange between R and the foreign world using common file formats Coaching to become an independent R user, capable of writing original scripts and solving future challenges
Building China into a Cyber Superpower: Desires, Drivers, and Devices
by Munish SharmaThis book provides a comprehensive look into China’s emerging cyberspace strategy. It highlights the prime drivers of China’s desire to be a cyber superpower and discusses the ways in which China is turning resources into cyber power.The book analyses China’s domestic cyber policy initiatives, strategy documents, censorship measures, and the rationale behind its strong advocacy for sovereignty in cyberspace. It examines China’s position on the prominent issues of cyberspace governance, norms and security in cyberspace, and key diplomatic initiatives. The book also discusses next-generation networks, artificial intelligence, quantum information sciences, and cyber warfare.An important contribution to the study of China’s cyber policy, the book will be of interest to students and researchers of international relations,Chinese digitalisation, security studies, Chinese politics, international security, Chinese foreign policy, and Chinese economy. It will also be useful to the policymakers and corporate professionals engaged with China’s digital sphere.
Transformative AI: Responsible, Transparent, and Trustworthy AI systems (River Publishers Series in Computing and Information Science and Technology)
by Ahmed BanafaTransformative Artificial Intelligence provides a comprehensive overview of the latest trends, challenges, applications, and opportunities in the field of Artificial Intelligence. The book covers the state of the art in AI research, including machine learning, natural language processing, computer vision, and robotics, and explores how these technologies are transforming various industries and domains, such as healthcare, finance, education, and entertainment.The book also addresses the challenges that come with the widespread adoption of AI, including ethical concerns, bias, and the impact on jobs and society. It provides insights into how to mitigate these challenges and how to design AI systems that are responsible, transparent, and trustworthy.The book offers a forward-looking perspective on the future of AI, exploring the emerging trends and applications that are likely to shape the next decade of AI innovation. It also provides practical guidance for businesses and individuals on how to leverage the power of AI to create new products, services, and opportunities.Overall, the book is an essential read for anyone who wants to stay ahead of the curve in the rapidly evolving field of Artificial Intelligence and understand the impact that this transformative technology will have on our lives in the coming years.
Advancement of Data Processing Methods for Artificial and Computing Intelligence (River Publishers Series in Computing and Information Science and Technology)
by Seema Rawat V. Ajantha Devi Praveen KumarThis book emphasizes the applications of advances in data processing methods for Artificial Intelligence in today's fast-changing world, as well as to serve society through research, innovation, and development in this field. This book is applicable to a wide range of data that contribute to data science concerns and can be used to promote research in this high-potential new field. People's perceptions of the world and how they conduct their lives have changed dramatically as a result of technological advancements. The world has been gripped by technology, and the advances that are being made every day are undeniably transforming the planet. In the domains of Big Data, engineering, and data science, this cutting-edge technology is ready to support us.Artificial intelligence (AI) is a current research topic because it can be applied to a wide range of applications and disciplines to solve complicated problems and find optimal solutions. In research, medicine, technology, and the social sciences, the benefits of AI have already been proven. Data science, also known as pattern analytics and mining, is a technique for extracting useful and relevant information from databases, enabling better decision-making and strategy formulation in a range of fields. As a result of the exponential growth of data in recent years, the combined notions of big data and AI have given rise to many study areas, such as scale-up behaviour from classical algorithms. Furthermore, combining numerous AI technologies from other areas (such as vision, security, control, and biology) in order to build efficient and durable systems that interact in the real world is a new problem. Despite recent improvements in fundamental AI technologies, the integration of these skills into larger, trustworthy, transparent, and maintainable systems is still in its development. Both conceptually and practically, there are a number of unanswered issues.
Model-Driven Software Systems Development Using the Meta-Artifact Process
by Wayne O'BrienThe importance of architecture for software systems is widely accepted, but the role of architecture in the overall development process is not so clear. Presenting an architecture-centric process, Model-Driven Software Systems Development Using the Meta-Artifact Process makes the role of architecture clear. At its core, this book is about developing software systems and, more specifically, software code. It describes three major innovations for making software, which are combined with five widely used enabling technologies, to provide a complete, hypothesis-driven software development process known as Meta-Artifact Process (MAP). Having complete requirements is essential for making good software and supports the hypothesis-driven MAP.MAP offers properties, qualities, and capabilities that help stakeholders and developers understand and reason about a domain and target systems of interest. MAP, through the central role of the Meta-Artifact and incorporating the view that a computer program is a hypothesis about the requirements, offers new ways to look at systems and their development, even changing the roles of developers and stakeholders.Recommending agile methods wherever appropriate while supporting the OMG Essence standard and working within an overarching architecture, MAP presents ways to ensure that the requirements are complete and correct. It helps to identify likely points during development to form alternative hypotheses about them. Because MAP requires an underlying software development process, it can provide that clarity to existing processes in which the organization’s developers are already proficient.This book provides concrete examples from two broad but diverse areas—Accounting Information Systems in the commercial area and a military command and control system—to show the wide applicability of MAP in both commercial and defense domains.