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Innovative Technologies for Enhancing Experiences and Engagement (SpringerBriefs in Applied Sciences and Technology)
Par Azman Ismail, Fatin Nur Zulkipli, Rahimah Mahat, Mohd Amran Mohd Daril, Andreas Öchsner. 2024
The book showcases how the technologies are transforming entertainment, education, and professional training, offering readers real-world examples of their applications.…
"Innovative Technologies for Enhancing Experiences and Engagement" is an enlightening guide that reveals how emerging technologies are shaping our world, offering insights into the evolving digital landscape and inspiring a future of more personalized, immersive, and engaging experiences.Applied Multi-objective Optimization (Springer Tracts in Nature-Inspired Computing)
Par Nilanjan Dey. 2024
The book explains basic ideas behind several kinds of applied multi-objective optimization and shows how it will be applied in…
practical contexts in the domain of healthcare, engineering design, and manufacturing. The book discusses how meta-heuristic algorithms are successful in resolving challenging, multi-objective optimization issues in various disciplines, including engineering, economics, medical and environmental management. The topic is useful for graduates, researchers and lecturers in optimization, engineering, management science and computer science.Proceedings of Eighth International Congress on Information and Communication Technology: ICICT 2023, London, Volume 4 (Lecture Notes in Networks and Systems #696)
Par Xin-She Yang, R. Simon Sherratt, Nilanjan Dey, Amit Joshi. 2024
This book gathers selected high-quality research papers presented at the Eighth International Congress on Information and Communication Technology, held at…
Brunel University, London, on 20–23 February 2023. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The work is presented in four volumes.Unlock 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.Design, 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
Par Francis X. Govers. 2018
Bring 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.Serverless ETL and Analytics with AWS Glue: Your comprehensive reference guide to learning about AWS Glue and its features
Par Vishal Pathak, Subramanya Vajiraya, Noritaka Sekiyama, Tomohiro Tanaka, Albert Quiroga. 2022
Build 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.Go 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.AI-Generated Popular Culture: A Semiotic Perspective
Par Marcel Danesi. 2024
This 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)
Par Lino Marques, Cristina Santos, José Luís Lima, Danilo Tardioli, Manuel Ferre. 2024
Advancements in Urban Environmental Studies: Application of Geospatial Technology and Artificial Intelligence in Urban Studies (GIScience and Geo-environmental Modelling)
Par Atiqur Rahman, Shouraseni Sen Roy, Swapan Talukdar, Shahfahad. 2023
According 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
Par Stephan Kleuker. 2024
Mit 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)
Par Lucian-Ionel Cioca, Larisa Ivascu, Florin Gheorghe Filip, Banciu Doina. 2024
This 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)
Par Andreia de Bem Machado, Maria José Sousa, Francesca Dal Mas, Silvana Secinaro, Davide Calandra. 2024
This 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
Par Y V Ravi Kumar, Raghavendra S, Ankur Goel. 2024
This 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-timeRobot 2023: Advances in Robotics, Volume 2 (Lecture Notes in Networks and Systems #978)
Par Lino Marques, Cristina Santos, José Luís Lima, Danilo Tardioli, Manuel Ferre. 2024
This 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
Par Ron Cody. 2018
Learn 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. 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 includeBioinformatics and Computational Biology: Technological Advancements, Applications and Opportunities
Par Tiratha Raj Singh, Hemraj Saini, Moacyr Comar Junior. 2024
Bioinformatics and Computational Biology: Technological Advancements, Applications and Opportunities is an invaluable resource for general and applied researchers who analyze…
biological data that is generated, at an unprecedented rate, at the global level. After careful evaluation of the requirements for current trends in bioinformatics and computational biology, it is anticipated that the book will provide an insightful resource to the academic and scientific community. Through a myriad of computational resources, algorithms, and methods, it equips readers with the confidence to both analyze biological data and estimate predictions.The book offers comprehensive coverage of the most essential and emerging topics: Cloud-based monitoring of bioinformatics multivariate data with cloud platforms Machine learning and deep learning in bioinformatics Quantum machine learning for biological applications Integrating machine learning strategies with multiomics to augment prognosis in chronic diseases Biomedical engineering Next generation sequencing techniques and applications Computational systems biology and molecular evolution While other books may touch on some of the same issues and nuances of biological data analysis, they neglect to feature bioinformatics and computational biology exclusively, and as exhaustively. This book's abundance of several subtopics related to almost all of the regulatory activities of biomolecules from where real data is being generated brings an added dimension.Algorithmic Thinking, 2nd Edition: Learn Algorithms to Level Up Your Coding Skills
Par Daniel Zingaro. 2024
Get in the game and learn essential computer algorithms by solving competitive programming problems, in the fully revised second edition…
of the bestselling original. (Still no math required!)Are you hitting a wall with data structures and algorithms? Whether you&’re a student prepping for coding interviews or an independent learner, this book is your essential guide to efficient problem-solving in programming.UNLOCK THE POWER OF DATA STRUCTURES & ALGORITHMS:Learn the intricacies of hash tables, recursion, dynamic programming, trees, graphs, and heaps. Become proficient in choosing and implementing the best solutions for any coding challenge.REAL-WORLD, COMPETITION-PROVEN CODE EXAMPLES:The programs and challenges in this book aren&’t just theoretical—they&’re drawn from real programming competitions. Train with problems that have tested and honed the skills of coders around the world.GET INTERVIEW-READY:Prepare yourself for coding interviews with practice exercises that help you think algorithmically, weigh different solutions, and implement the best choices efficiently.WRITTEN IN C, USEFUL ACROSS LANGUAGES:The code examples are written in C and designed for clarity and accessibility to those familiar with languages like C++, Java, or Python. If you need help with the C code, no problem: We&’ve got recommended reading, too.Algorithmic Thinking is the complete package, providing the solid foundation you need to elevate your coding skills to the next level.AI-Assisted Programming
Par Tom Taulli. 2024
Get practical advice on how to leverage AI development tools for all stages of code creation, including requirements, planning, design,…
coding, debugging, testing, and documentation. With this book, beginners and experienced developers alike will learn how to use a wide range of tools, from general-purpose LLMs (ChatGPT, Gemini, and Claude) to code-specific systems (GitHub Copilot, Tabnine, Cursor, and Amazon CodeWhisperer).You'll also learn about more specialized generative AI tools for tasks such as text-to-image creation.Author Tom Taulli provides a methodology for modular programming that aligns effectively with the way prompts create AI-generated code. This guide also describes the best ways of using general purpose LLMs to learn a programming language, explain code, or convert code from one language to another.This book examines:The core capabilities of AI-based development toolsPros, cons, and use cases of popular systems such as GitHub Copilot and Amazon CodeWhispererWays to use ChatGPT, Gemini, Claude, and other generic LLMs for codingUsing AI development tools for the software development lifecycle, including requirements, planning, coding, debugging, and testingPrompt engineering for developmentUsing AI-assisted programming for tedious tasks like creating regular expressions, starter code, object-oriented programming classes, and GitHub ActionsHow to use AI-based low-code and no-code tools, such as to create professional UIs