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DESCRIPTIONGenerative AI is changing the way we think about creativity and problem-solving. This book is your go-to guide for understanding and working with this exciting technology.This book offers a clear introduction to generative AI, starting with basics like machine learning and deep learning. It explains key models, including GANs and VAEs, breaking down their architectures and training methods. You will discover how Transformer models like GPT have transformed natural language processing and enabled advancements in language generation. The book explores practical applications such as image synthesis, style transfer, and text generation, showing how generative AI merges technology with creativity. Advanced topics like reinforcement learning, AI ethics, and bias are also covered. Practical tips for creating your own generative AI models, along with insights into the future of this groundbreaking field, making it an essential resource for AI enthusiasts and professionals.By the end of this book, you will have a firm grasp of generative AI concepts and practical skills to get you started. You will be well-prepared to use cloud platforms like AWS, Azure, and GCP to build and launch powerful generative AI projects. From creating realistic images to crafting natural text, you will explore hands-on examples while tackling important ethical questions. This book gives you the skills and confidence to explore the limitless potential of generative AI.WHAT YOU WILL LEARN¿ Build foundational knowledge of generative AI principles and models.¿ Apply machine learning and deep learning for creative content generation.¿ Leverage GANs, VAEs, and Transformer models in real-world scenarios.¿ Master cloud tools for scalable generative AI development.¿ Address ethical challenges and implement responsible AI practices.¿ Explore advanced applications and future directions of generative AI.WHO THIS BOOK IS FORThis book is designed for data scientists, machine learning engineers, software developers, cloud professionals, educators, students, and creative professionals.

Fortran Programming in easy steps has an easy-to-follow style that will appeal to anyone who wants to begin coding computer programs with the Fortran programming language and the modern Intel IFX Fortran compiler. The code in the listed steps within the book is color-coded, making it easier for beginners to grasp. You need have no previous knowledge of any computer programming language, so it's ideal for the newcomer.Fortran Programming in easy steps instructs you how to write code to create your own computer programs. It contains separate chapters demonstrating how to store information in data structures, how to control program flow using control structures, and how to create re-usable blocks of code in program functions. There are complete step-by-step example programs that demonstrate each aspect of coding, together with screenshots that illustrate the actual output when each program is executed.Fortran Programming in easy steps begins by explaining how to easily create a programming environment on your own computer so that you can quickly begin to create your own working programs by copying the book's examples. After demonstrating the essential building blocks of computer programming, the book describes how to use data abstraction for object-oriented programming and demonstrates how to code parallel programming for concurrency in your programs.

This book outlines the various threats that cyber warfare poses to operations in the maritime environment (defined broadly) and the abilities of modern navies to defend against those threats. It explains how navies are organized and equipped for cyber operations and the concepts and doctrine adopted by those navies. This includes not just the U.S. Navy, Marine Corps and Coast Guard, but also the navies of allies (NATO, the Quad), opponents (China, Russia) and others. It also explores the relationship between USN.USMC and USCYBERCOM. Specific issues that the USN and USMC face in conducting defensive and offensive cyber operations include: recruiting, training, and retaining cyber personnel; consolidation (ashore) and distribution (at sea) of command of cyber operations; operational relationship to artificial intelligence (AI); relationship to electromagnetic warfare (EMW) overall; combining cyber with kinetic operations; unique cyber aspects of surface, air, littoral, and undersea warfare; weaponized dependence on space; cyberattacks on naval supply chains; and fleet resilience and cyber security.

An eye-opening look at the rapidly rising growth of gaming and the companies--including Peloton, Burberry, the New York Times, BMW, and Chipotle--that are using games to win over customers.Today's consumers demand more than products--they crave immersive, personalized experiences. So traditional marketing and engagement strategies have lost their edge. The new frontier? Gaming, where over three billion people worldwide spend their time, attention, and money.In Press Play, Bastian Bergmann, the founder and COO of Solsten, shows how visionary companies are capitalizing on gaming's unstoppable rise. Drawing on exclusive interviews and access to forward-thinking companies--from luxury fashion houses to groundbreaking startups--Bergmann provides an insider's view of gaming's transformative power. He also delivers a practical road map for business leaders, offering strategies that scale from low-risk partnerships to ambitious, full-scale gaming ventures.Filled with cutting-edge insights and behind-the-scene stories, Press Play will help you understand the lucrative world of video games and offer customers what they really crave.

The reference text focuses on the principles of designing sustainable electronics, including considerations for reducing the environmental impact of electronics during the design phase. It covers topics such as product life cycle assessment, eco-design, and green materials selection.

Covering formulation, algorithms and structural results and linking theory to real-world applications in controlled sensing (including social learning, adaptive radars and sequential detection), this book focuses on the conceptual foundations of partially observed Markov decision processes (POMDPs). It emphasizes structural results in stochastic dynamic programming, enabling graduate students and researchers in engineering, operations research, and economics to understand the underlying unifying themes without getting weighed down by mathematical technicalities. In light of major advances in machine learning over the past decade, this edition includes a new Part V on inverse reinforcement learning as well as a new chapter on non-parametric Bayesian inference (for Dirichlet processes and Gaussian processes), variational Bayes and conformal prediction.

The rapid and profound permeation of generative AI technology into all aspects of modern society also changes the landscape of higher education and thus leads to a compelling call to harness the power of AI for transforming higher education. One of the most significant areas of opportunity offered by generative AI is in the assessment of learning. The goal of assessment is to foster learning especially essential for success beyond the classroom, and this can only be possible with well-designed assessments that have the potential for determining whether students have learned the content. By harnessing generative AI, assessments can be designed that have the potential to support inquiry-based learning and foster creativity, all essential for the development of a deeper conceptual understanding of content. Educational Assessments in the Age of Generative AI contributes to the effort to bring generative AI to the forefront of assessing students' learning by exploring how the use of generative AI tools and applications can transform and revolutionize assessment practices. Furthermore, it is devoted to exploring the use of AI in assessments to measure knowledge, skills and students' abilities in order to prepare them for careers in the 21st century. Covering topic including academic integrity, higher education, and mathematics education, this book is an excellent resource for educators, higher education administrators, policymakers, information technology support professionals, tests and assessment developers, researchers, scholars, academicians, professionals, and more.

DESCRIPTIONMastering Neural Network Computer Vision with TensorFlow and Keras provides a comprehensive guide to using TensorFlow and Keras for computer vision applications. The book enables readers to develop and exercise the skills needed to use sophisticated pre-trained computer vision models, build simple and more advanced neural network models, and optimize their performance.The different chapters of the book cover a comprehensive range of topics in computer vision and deep learning. The first chapter provides a theoretical introduction to computer vision and deep learning, and the second one provides an overview of TensorFlow and its capabilities. The subsequent chapters cover specific applications of neural networks in computer vision, such as image classification, image segmentation, and object detection, and how to tap into the power of transfer learning and pre-trained models to address those use cases. Finally, the remaining chapters cover how to design your own neural network, gather a proper dataset and train your model efficiently. They also cover image generation and ethical considerations around computer vision.By the end of this book, readers will have a strong understanding of the principles of deep learning and computer vision, as well as the skills needed to build advanced neural network models using TensorFlow.WHAT YOU WILL LEARN¿ Understand essential deep learning concepts and architectures specifically designed for modern computer vision applications.¿ Build practical expertise with Tensorflow and Keras while implementing pre-trained models for vision tasks.¿ Learn to fine-tune existing models and design new architectures for specific vision challenges.¿ Master techniques to improve model efficiency, training speed, and overall performance in real applications.¿ They will know how diffusion-based models work and how to use some of the most popular ones, like DALL-E or Stable Diffusion.WHO THIS BOOK IS FORThis book is for current or aspiring deep tech professionals, students, and anyone who wishes to understand the rewarding field of computer vision. More specifically, it will also have a great impact on computer vision engineers, robotics, image processing, and video processing engineers who are willing to learn how to use neural networks to boost their performance and results.

Seit 25 Jahren arbeiten 49 Staaten an der Realisierung der Bologna-Erklärung zur Schaffung eines Europäischen Hochschulraums. Die Bildungssysteme der teilnehmenden EU- und Nicht-EU-Staaten werden mittels dieser Reform besser koordinierbar.In diesem Band wird die Reformsituation bis zum Jahr 2016 als Zwischenergebnis des Bologna-Prozesses speziell im Fachbereich der Translation eingeschätzt.Die Studie beinhaltet einen hochschul-historischen und bildungspolitischen Teil sowie eine empirische Untersuchung. Dabei werden sowohl der Bologna-Prozess als auch nationale Umsetzungen untersucht. Auf dieser Basis werden Hypothesen über das Fortschreiten des Reformprozesses aufgestellt. Im empirischen Teil werden eine Korpusstudie sowie eine Interviewstudie durchgeführt.Der Vergleich der beiden Studien führt zu Schlussfolgerungen, auf deren Basis die Hypothesen über das Fortschreiten und Gelingen des Bologna-Reformprozesses geprüft und Vorschläge zu einer weiterführenden Untersuchung eingebracht werden.

Android, Assembled unpacks the phenomenon of social robots-not as monolithic machines but as sociotechnical assemblages, pieced together from bodily features (like heads and sensors) and the elements we read into them (like gender and authority). Each chapter explores the philosophical, theoretical, empirical, or technical understanding of discrete robot components to offer a deeper look into how those parts contribute to what social robots are and how humans experience them. Part I (Explicit Anatomy) considers the manifest components of robots-those that make up the physical robot and its capabilities: Shapes, heads, faces, eyes, legs, feet, wings, color, clothing, gestures, postures, speech, text, screens, memory, information, sensors, actuators, organic elements, and distributed elements. Part II (Implicit Anatomy) explores the parts of social robots that humans infer or interpret: Image, interactivity, cuteness, gender, power, authority, membership, cognition, decision-making, aliveness, mindedness, obligations, and ultimately the kind of thing a robot is. Along with the state of the art and science, each author gives a provocation to highlight open questions and possible futures.

A personal and provocative exploration of how technology companies have reshaped human language, and, if we let them, could steal it from us.

This book examines the links between experiencing immersion in antiquity and modernity. Immersive experiences are big business within today's creative economy. Forms range from immersive museum exhibitions, theatrical performances, art installations and experiences facilitated through virtual and augmented reality technologies. Yet the idea of immersion is not new; paintings, sculpture and theatre have all been theorised historically in terms of illusion, realism and immersion. From antiquity to modernity, there has been an interest in theorising the relationship between reality and virtual realities, and in contemplating whether feeling present in an alternate universe is a sought-after experience or something problematic and dangerous. The chapters in this volume explore the warnings against immersion voiced by Plato and embodied in the figure of the Homeric sirens, contrasted with the pro-immersion perspectives championed by Aristotelian mimesis and embodied in the concept of enargeia. The volume also examines the integration of the ancient world into immersive novels, games, museum exhibitions and theatrical performances. Practice-as-Research contributions explore the benefits of this synergy from practitioner perspectives. Contributors from diverse fields - including classical reception studies, art history, game studies, heritage studies and theatre studies - approach the interplay between antiquity and modernity from varied standpoints. Together, they uncover previously unforeseen connections across disciplines and lay the groundwork for future research and additional classically inflected immersive experiences.

The book ventures into new and often-contested terrains of NFT consumption to explore what they reveal about digital ownership. While the primary intended audience for this book are consumption scholars and students, many other readers interested in digital ownership, digital markets and Web3 will find it interesting and relevant.

DESCRIPTIONThis book teaches you to draw insights from your data. In today's data-driven business landscape, making informed decisions requires effective data analysis. This book guides you through the steps to import, structure, and visualize your data in R, and apply statistical and ML algorithms to drive better insights.This book offers a thorough introduction to data science, starting with R programming basics and advancing to ML and data visualization. Learn to clean, explore, and transform data using tools like dplyr. Key statistical concepts like probability, hypothesis testing, and modeling are covered, providing a foundation for data-driven decisions. Discover supervised and unsupervised ML techniques, feature engineering, and model evaluation. The book also provides career guidance in data science, including skill-building tips and job search strategies, equipping you to excel in this growing field.By the end of this book, you will be able to confidently use R to prepare data for analysis and apply ML algorithms to make predictions and drive business decisions.KEY FEATURES¿ Master R for effective data analysis and ML.¿ Analyze data, identify patterns, and drive informed decision-making.¿ Learn by doing hands-on R codes and applying ML techniques.WHAT YOU WILL LEARN¿ Use R to clean, analyze, and visualize data effectively.¿ Apply statistical techniques to find patterns and trends in data.¿ Understand and implement key ML algorithms step-by-step.¿ Data visualization techniques using ggplot2 to create informative visualizations.¿ Strong foundation in statistical concepts, including probability theory, hypothesis testing, and statistical modeling.WHO THIS BOOK IS FORThis book is ideal for individuals with a basic understanding of programming and statistics who aspire to enter the field of data science. Professionals such as data analysts, software engineers, and researchers will find this book particularly valuable as it provides a practical approach to leveraging data for informed decision-making.

DESCRIPTIONBeginning with Tableau Cloud is the essential toolkit for crafting intuitive and high-performance visuals over the web. This book provides a practical understanding of building, managing, and deploying workbooks on Tableau Cloud.This book explores Tableau's cloud platform, starting with the basics of data visualization and connecting to diverse sources, including live connections and efficient data extracts. It covers creating charts from simple bar graphs to advanced visualizations like dual-axis charts and LOD calculations. Readers will learn to enhance dashboards with interactive features like parameters, actions, and animations. The book also focuses on managing content, sharing dashboards, setting up alerts, handling site administration, user management, and data security. Practical challenges such as troubleshooting connectivity, refresh issues, and optimizing performance are addressed. Real-world projects included in the chapters will help readers apply their skills to analyze complex datasets, craft engaging dashboards, and effectively communicate data insights.This book helps BI developers to understand their roles and responsibilities. It also helps to leverage their Tableau capabilities to become Cloud server site administrators. Furthermore, you will gain the skills to effectively manage, share, and collaborate on your work, driving data-driven decision-making within your organization.WHAT YOU WILL LEARN¿ Master Tableau Cloud functionalities and services.¿ Build secure, interactive, and intuitive dashboards and stories on the cloud.¿ Deploy and manage data sources and workbooks on the web.¿ Manage published content, learn how to secure data, and troubleshoot frequently occurring issues on the Cloud.¿ Managing user security and privileges.WHO THIS BOOK IS FORThis book is for visualization experts, BI professionals, data professionals, non-technical business users, data analysts, BI analysts, or students aspiring to become Tableau site administrators. It is geared towards developers and analysts curating content on Tableau Cloud.

DESCRIPTIONThis book is a workshop to create software using AI. A reader will be taken through a series of requirements and create a practical API from scratch. AI is without a doubt a productivity boost, and our goal is to help you maximize the boost by writing prompts effectively to generate, refactor, test, and review code.This book is also a modern take on software design fundamentals. To be able to scrutinize AI-generated code and to be able to guide AI effectively to better results, one should understand the theory behind software design. It starts with basics like clean function design and object-oriented principles, then advances to SOLID principles, design patterns, and Onion architecture. Readers will learn essential testing methods, including unit, integration, and acceptance tests using BDD and Specflow. The guide covers API development, focusing on security, validation, error handling, and external system integration. It also explains CI/CD pipelines using Azure DevOps, including build and deployment pipelines with YAML configurations.Lastly, this book teaches us to embrace the changes in software requirements. The end goal is to teach a reader how to implement changes in software with minimum change to existing lines of code.You will be well-equipped to leverage AI as a valuable asset in your software development toolbox.WHAT YOU WILL LEARN¿ The fundamentals of software design like KISS, OOP, SOLID, and key design Patterns.¿ Use Effective prompt engineering for generating code, refactoring, testing, and reviewing.¿ Code review both for human and AI-generated code.¿ Design which minimizes changes when new requirements are introduced.¿ Build .NET REST Web API with tests.¿ Build CI/CD pipelines to deploy to Azure.WHO THIS BOOK IS FORThis book is intended for software developers, aspiring programmers, and students in computer science or related fields who have a basic understanding of programming concepts and are eager to deepen their knowledge of software design principles and best practices.

DESCRIPTIONHands-on Splunk on AWS is a practical tutorial for professionals who wish to set up, manage, and analyze data with Splunk on AWS. This practical guide capitalizes on the scalability and flexibility of Amazon Web Services (AWS) to streamline your Splunk deployment.This book is a complete guide to Splunk, a powerful tool for analyzing and visualizing machine-generated data. It explains Splunk's architecture, components, and data flow, helping you set up, configure, and index data effectively. Learn to write efficient Splunk Processing Language (SPL) queries, create detailed visualizations, and optimize searches for deeper insights. Discover advanced topics like clustering and integrating Splunk into modern DevOps practices and cloud-native environments. The book also shares best practices for administration, troubleshooting, and security.By the end of this guide, readers will be confident in utilizing Splunk on AWS to make data-driven decisions. Whether you want to improve your data analysis or use AWS for Splunk, this book will teach you the skills and insights you need in today's data-driven world.KEY FEATURES¿ Understand Splunk's search language to query, analyze, and visualize data.¿ Create interactive dashboards and reports to communicate insights effectively.¿ Integrate Splunk with modern DevOps practices to improve monitoring and troubleshooting.WHAT YOU WILL LEARN¿ How to deploy and configure Splunk effectively on AWS.¿ Key concepts and tools in data onboarding and indexing.¿ Mastery of the Splunk Processing Language (SPL) for data queries.¿ Techniques for creating and managing interactive dashboards.¿ Integration of Splunk with Kubernetes and CI/CD pipelines.¿ Methods for applying machine learning in data analysis with Splunk.WHO THIS BOOK IS FORThis book is for IT professionals, data analysts, Splunk administrators, and cloud enthusiasts to improve their understanding of Splunk on AWS and extract valuable insights from their data.