Digital Twin Technology - Fundamentals and Applications
This book provides an in-depth examination of digital twin technology to take you on an enthralling trip across the intersection of the virtual and real worlds. It explores the transformational impact of digital twins, from their roots in engineering to their widespread applications in manufacturing, health care, and other areas. Real-world case studies highlight the practical benefits, while potential hazards are addressed wisely. This book is your guide to comprehending the present and visualizing a future where digital twins transform innovation, efficiency, and connectedness in our increasingly complicated world. Begin this illuminating trip and embrace the possibilities that exist at the intersection of the physical and digital worlds.
Regulating Hate Speech Created by Generative AI
Regulating Hate Speech Created by Generative AI explores the new hybrid space of Human Machine Interaction (HMI) in which hate speech is represented and computed through algorithms and AI generative systems. The book is exploratory because there are still many problem-solving challenges to be faced. It is also innovative because it is not assuming that solutions lie only in technological advancements but on a broader scale. In this sense, large language models can and are being considered from a holistic view (i.e., from the different dimensions and layers of regulatory and legal governance). Highlights of the book include: Generative AI and social engines of hate An introduction to generative Artificial Intelligence application, trends, and ethics The mechanics and validation of generative AI outcomes An evaluation of Generative AI for hate speech detection Best practices and key considerations for AI regulation Using GenAI capabilities for early detection of threats in the digital environment. This book is a hard look at ways to regulate generative AI to reduce online hate and secure justice in a digital environment. Featuring research and offering practical guidelines, the book examines guidelines for regulating generative AI models, so they do not contribute to online hate disinformation and imagery.
Advanced Virtual Assistants - A Window to the Virtual Future
Advanced Virtual Assistants (AVAs) are computer programs that use artificial intelligence (AI) to perform various tasks for human users. These AI-powered assistants can help with multiple activities, including scheduling appointments, answering questions, managing email and social media, and even performing complex calculations. They can be accessed through various platforms, including smartphones, smart speakers, and other digital devices. AVAs utilize natural language processing (NLP) and machine learning algorithms to understand human language and improve their responses over time. As these technologies advance, virtual assistants are becoming increasingly sophisticated and capable of handling more complex tasks. As a result, they are transforming how we interact with technology and providing users with more efficient and personalized experiences. This book is a helpful reference for scientists and industrial experts interested in AVAs' current and future capabilities.
E-Service Digital Innovation
Dive deep into the transformative world of digital services with E-service Digital Innovation, a masterful blend of academic rigor and real-world insights. This text dissects the complexities of user motivation, the symbiotic dance between digital innovations and societal structures, and the collaborative essence of value co-creation. Venture into the heart of banking's digital metamorphosis and unravel the strategies shaping today's digital business models. With chapters dedicated to the revolutionary Industry 5. 0, the transformative powers of AI and blockchain, and the resilience imperative in business continuity, this book stands as a beacon for scholars and practitioners alike. Beyond the urban digital realms, discover the nuanced dynamics of rural digital adoption and the future of e-service in higher education. Grasp the intricacies of instructional learning design, data monetization ethics, and the innovative potential of IoT in urban planning. E-Service Digital Innovation invites you to engage, learn, and emerge as a contributor to the ever-evolving digital landscape. Your journey toward understanding and shaping the digital future starts here. Key Advantages: -Comprehensive coverage: From user psychology to the avant-garde applications of digital innovation -Scholarly rigor: A seminal text for academics, researchers, and industry experts -Practical wisdom: Real-world insights to navigate and shape the digital future -Diverse perspectives: Topics range from AI in e-commerce to the transformative potential of self-financing cities
Universal Access in Human-Computer Interaction
This three-volume set LNCS 14696-14698 constitutes the refereed proceedings of the 18th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2024, held as part of the 26th International Conference, HCI International 2024, in Washington, DC, USA, during June 29 - July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions. The UAHCI 2024 proceedings were organized in the following topical sections: Part I: User Experience Design and Evaluation for Universal Access; AI for Universal Access. Part II: Universal Access to Digital Services; Design for Cognitive Disabilities; Universal Access to Virtual and Augmented Reality. Part III: Universal Access to Learning and Education; Universal Access to Health and Wellbeing; Universal Access to Information and Media.
Privacy Technologies and Policy
This book constitutes the refereed conference proceedings of the 11th Annual Privacy Forum, APF 2023 in Lyon, France in June 2023. The 8 full papers were carefully reviewed and selected from 37 submissions. The papers are organized in the following topical sections: Emerging Technologies and Protection of Personal Data, Data Protection Principles and Data Subject Rights, Modelling Data Protection and Privacy, and Modelling Perceptions of Privacy.
HashiCorp Terraform Associate (003) Exam Guide
Master Terraform concepts and the workflow to successfully gain HashiCorp Terraform Associate (003) certificationKey Features: - Familiarize yourself with every aspect of the latest Terraform Associate (003) exam objectives- Learn essential topics with detailed explanations and real-world examples- Focus on best practices for Infrastructure as Code (IaC) and Terraform- Purchase of this book unlocks access to web-based exam prep resources, including mock exams, flashcards, exam tips, and the eBook PDFBook Description: This HashiCorp Terraform Associate (003) exam guide simplifies technical content relating to the exam and helps you learn using real-world examples. The book is aligned with the latest exam objectives, which enables you to streamline your learning experience instead of referring to multiple sources for preparation. Moreover, the book is designed to serve as a "one-stop solution" for readers with varied levels of experience in Terraform.You'll learn how to efficiently provision and manage cloud and on-premises infrastructure using Terraform. As you progress, you'll focus on essential commands, state management techniques, and best practices. Later chapters will show you how to harness the power of Terraform modules for code reusability and scalability. You'll also gain insights into advanced topics such as debugging, troubleshooting, and leveraging Terraform Cloud and Terraform Enterprise for collaborative infrastructure management. This book provides you with lifetime access to supplementary practice resources such as mock exams, flashcards, and exam tips from experts.By the end of this book, you'll have the knowledge and skills you need to confidently tackle the Terraform Associate certification exam and excel in your career.What You Will Learn: - Understand the concepts around Infrastructure as Code (IaC)- Interact with modules seamlessly for scalable and reusable code- Use the core building blocks of Terraform effectively in multi-cloud environments- Apply Terraform functions to enhance configuration capabilities- Write configuration scripts and make use of workspaces- Understand the importance of Terraform state and its efficient managementWho this book is for: This HashiCorp Terraform Associate (003) preparation guide is tailored to individuals preparing for the latest Terraform Associate Certification (003) exam by HashiCorp. Cloud engineers specializing in automated provisioning of cloud infrastructure and related operations will also benefit significantly from this book.
Universal Access in Human-Computer Interaction
This three-volume set LNCS 14696-14698 constitutes the refereed proceedings of the 18th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2024, held as part of the 26th International Conference, HCI International 2024, in Washington, DC, USA, during June 29 - July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions. The UAHCI 2024 proceedings were organized in the following topical sections: Part I: User Experience Design and Evaluation for Universal Access; AI for Universal Access. Part II: Universal Access to Digital Services; Design for Cognitive Disabilities; Universal Access to Virtual and Augmented Reality. Part III: Universal Access to Learning and Education; Universal Access to Health and Wellbeing; Universal Access to Information and Media.
Leveraging New Paradigms for Enhanced Mobile Network Security
The mobile landscape is evolving, and traditional security methods struggle to keep pace. New paradigms are emerging, offering a chance to leapfrog current limitations. Artificial intelligence (AI) stands as a powerful ally. By analyzing vast swathes of network data in real-time, AI can identify and neutralize threats before they materialize. Machine learning algorithms continuously refine their capabilities, adapting to ever-changing threats. Blockchain technology, renowned for its secure transactions, finds a new application in mobile networks. It creates an unalterable record of data transfers, making it virtually impossible for hackers to steal sensitive information. Network slicing, a key feature of 5G, carves up the network into virtual slices tailored to specific needs. This allows for prioritizing security for critical applications like healthcare or finance, ensuring crucial data remains protected. These innovative paradigms, coupled with advancements in encryption and user authentication, paint a future where mobile network security isn't an afterthought, but an integral part of the user experience. We can then embrace the lightning speeds of mobile networks with the confidence that our data is safe and sound.
Modern CMake for C++ - Second Edition
Gain proficiency in CMake and unlock the complete potential of C++ to develop exceptional projectsPurchase of the print or Kindle book includes a free eBook in the PDF formatKey Features: - Get to grips with CMake and take your C++ development skills to enterprise standards- Use hands-on exercises and self-assessment questions to lock-in your learning- Understand how to build in an array of quality checks and tests for robust codeBook Description: Modern CMake for C++ isn't just another reference book, or a repackaging of the documentation, but a blueprint to bridging the gap between learning C++ and being able to use it in a professional setting. It's an end-to-end guide to the automation of complex tasks, including building, testing, and packaging software.This second edition is significantly rewritten, restructured and refreshed with latest additions to CMake, such as support of C++20 Modules.In this book, you'll not only learn how to use the CMake language in CMake projects but also discover how to make those projects maintainable, elegant, and clean. As you progress, you'll dive into the structure of source directories, building targets, and packages, all while learning how to compile and link executables and libraries. You'll also gain a deeper understanding of how those processes work and how to optimize builds in CMake for the best results. You'll discover how to use external dependencies in your project - third-party libraries, testing frameworks, program analysis tools, and documentation generators. Finally, you'll gain profi ciency in exporting, installing, and packaging for internal and external purposes.By the end of this book, you'll be able to use CMake confi dently at a professional level.What You Will Learn: - Understand best practices to build ++ code- Gain practical knowledge of the CMake language- Guarantee code quality with tests and static and dynamic analysis- Discover how to manage, discover, download, and link dependencies with CMake- Build solutions that can be reused and maintained in the long term- Understand how to optimize build artifacts and the build process- Program modern CMake and manage your build processes- Acquire expertise in complex subjects such as CMake presetsWho this book is for: The book is for build engineers and software developers with knowledge of C/C++ programming who are looking to learn CMake to automate the process of building small and large software solutions. If you're just getting started with CMake, a long-time GNU Make user, or simply looking to brush up on the latest best practices, this book is for you.Table of Contents- First Steps with CMake- The CMake Language- Using CMake in Popular IDEs- Setting Up Your First CMake Project- Working with Targets- Using Generator Expressions- Compiling C++ Sources with CMake- Linking Executables and Libraries- Managing Dependencies in CMake- Using the C++20 Modules- Testing Frameworks- Program Analysis Tools- Generating Documentation- Installing and Packaging- Creating Your Professional Project- Writing CMake Presets- Appendix
DevOps Automation Cookbook
Automate, scale, and secure your DevOps workflows like a proDESCRIPTION In the fast-paced world of software development, embracing DevOps practices is key to achieving rapid, reliable deployments. The DevOps Automation Cookbook equips you with a comprehensive toolkit to automate and streamline your workflows, from infrastructure provisioning to continuous integration and deployment.This book teaches readers how to automate infrastructure setup and deployment using IaC tools like Terraform and Ansible. It covers essential DevOps practices such as version control with Git, continuous integration with Jenkins or Travis, and automated testing with Selenium. The book also explains containerization with Docker and orchestration with Kubernetes for efficient app deployment. It highlights DevSecOps, focusing on security with Puppet, and explores using TeamCity for enforcing compliance policies in the DevOps workflow.Whether you are a seasoned DevOps practitioner or just starting your journey, the DevOps Automation Cookbook provides the insights and hands-on skills you need to take your automation game to the next level. Discover how to optimize your processes, scale your infrastructure, and deliver high-quality software faster than ever before.WHAT YOU WILL LEARN● Automate infrastructure provisioning with Terraform and Ansible.● Implement version control and collaboration with Git.● Set up efficient CI/CD pipelines using Jenkins.● Leverage containers with Docker and orchestrate with Kubernetes.● Integrate automated testing and security into DevOps workflows.● Apply configuration management using Puppet and Chef.WHO THIS BOOK IS FORThis book is for DevOps engineers, system administrators, and software developers seeking to automate infrastructure provisioning, deployment, and security within their workflows.
Human Interface and the Management of Information
This three-volume set LNCS 14789-14791 constitutes the thoroughly refereed proceedings of the thematic area Human Interface and the Management of Information, HIMI 2024, held as part of the 26th International Conference on Human-Computer Interaction, HCI International 2024 (HCII 2024), was held as a hybrid event in Washington DC, USA, during June/July 2024. The total of 1271 papers and 309 posters included in the HCII 2023 proceedings was carefully reviewed and selected from 5108 submissions. The HIMI conference addressed approaches and objectives of information and data design, retrieval, presentation and visualization, management, and evaluation in human computer interaction in a variety of application domains, such as, for example, learning, work, decision, collaboration, medical support, and service engineering, and much more.
Human-Computer Interaction
This five-volume set LNCS 14684-14688 constitutes the refereed proceedings of the Human Computer Interaction thematic area of the 26 International Conference on Human-Computer Interaction, HCII 2024, held in Washington, DC, USA, during June 29 - July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions. The VAMR 2024 proceedings were organized in the following topical sections: Part I: HCI Theory and Design and Evaluation Methods and Tools; Emotions in HCI. Part II: Human-Robot Interaction; Child-Computer Interaction. Part III: HCI for Mental Health and Psychological Wellbeing; HCI in Healthcare. Part IV: HCI, Environment and Sustainability; Design and User Experience Evaluation Case Studies. Part V: Multimodality and Natural User Interfaces; HCI, AI, Creativity, Art and Culture.
Deep Generative Modeling
This first comprehensive book on models behind Generative AI has been thoroughly revised to cover all major classes of deep generative models: mixture models, Probabilistic Circuits, Autoregressive Models, Flow-based Models, Latent Variable Models, GANs, Hybrid Models, Score-based Generative Models, Energy-based Models, and Large Language Models. In addition, Generative AI Systems are discussed, demonstrating how deep generative models can be used for neural compression, among others. Deep Generative Modeling is designed to appeal to curious students, engineers, and researchers with a modest mathematical background in undergraduate calculus, linear algebra, probability theory, and the basics of machine learning, deep learning, and programming in Python and PyTorch (or other deep learning libraries). It should find interest among students and researchers from a variety of backgrounds, including computer science, engineering, data science, physics, and bioinformatics who wish to get familiar with deep generative modeling. In order to engage with a reader, the book introduces fundamental concepts with specific examples and code snippets. The full code accompanying the book is available on the author's GitHub site: github.com/jmtomczak/intro_dgm The ultimate aim of the book is to outline the most important techniques in deep generative modeling and, eventually, enable readers to formulate new models and implement them.
Linear Algebra for Data Science, Machine Learning, and Signal Processing
Maximise student engagement and understanding of matrix methods in data-driven applications with this modern teaching package. Students are introduced to matrices in two preliminary chapters, before progressing to advanced topics such as the nuclear norm, proximal operators and convex optimization. Highlighted applications include low-rank approximation, matrix completion, subspace learning, logistic regression for binary classification, robust PCA, dimensionality reduction and Procrustes problems. Extensively classroom-tested, the book includes over 200 multiple-choice questions suitable for in-class interactive learning or quizzes, as well as homework exercises (with solutions available for instructors). It encourages active learning with engaging 'explore' questions, with answers at the back of each chapter, and Julia code examples to demonstrate how the mathematics is actually used in practice. A suite of computational notebooks offers a hands-on learning experience for students. This is a perfect textbook for upper-level undergraduates and first-year graduate students who have taken a prior course in linear algebra basics.
Human-Computer Interaction
This five-volume set LNCS 14684-14688 constitutes the refereed proceedings of the Human Computer Interaction thematic area of the 26 International Conference on Human-Computer Interaction, HCII 2024, held in Washington, DC, USA, during June 29 - July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions. The VAMR 2024 proceedings were organized in the following topical sections: Part I: HCI Theory and Design and Evaluation Methods and Tools; Emotions in HCI. Part II: Human-Robot Interaction; Child-Computer Interaction. Part III: HCI for Mental Health and Psychological Wellbeing; HCI in Healthcare. Part IV: HCI, Environment and Sustainability; Design and User Experience Evaluation Case Studies. Part V: Multimodality and Natural User Interfaces; HCI, AI, Creativity, Art and Culture.
Artificial Intelligence in Healthcare
"Artificial Intelligence in Healthcare: A Compilation of Case Studies" offers a comprehensive view of AI's transformative impact on healthcare. Delving into applications and challenges, the book showcases detailed case studies illuminating AI's role in diagnosis, treatment, prevention, and management. From early cancer detection to personalized medicine, each case study exemplifies AI's potential to improve patient outcomes. Ethical dilemmas and emerging trends in AI research are also explored, providing a holistic view of AI's future in healthcare. This book is an essential guide for researchers, healthcare professionals, and anyone intrigued by AI's potential to revolutionize healthcare delivery.
Digital Dawn
Step Into the Future: Explore the New Horizons of Business in the Digital Age In an era where digital transformation reshapes every corner of the business landscape, Digital Dawn: The Rise of New Business Realities emerges as the essential guide for leaders, innovators, and visionaries striving to navigate this new frontier. This compelling journey into the digital revolution offers not just insights but a clear roadmap for harnessing the wave of technological advancements. From the driving forces behind digital transformation to the powerful impact of artificial intelligence and blockchain, this book dives deep into the heart of how digitalization is altering the fabric of industry as we know it. Understanding Digital Transformation is no longer a luxury but a necessity for thriving in today's fast-paced market. Through engaging narratives and real-world applications, readers will discover the role of data and analytics, and how the shift from traditional to digital business models is not just inevitable but beneficial. The Technologies Shaping Our Future section demystifies complex concepts, offering a glimpse into the potential and challenges of AI, blockchain, and the Internet of Things (IoT). With each page, the promise and perils of these technologies become clearer, empowering readers to make informed decisions and strategic moves. But it's not just about technology. Embracing Change: The Culture of Innovation teaches the significance of fostering a digital mindset and overcoming resistance within organizations. Leadership, strategy, and a relentless focus on reinventing customer experience stand at the core of digital transformation efforts. This book doesn't just tell you why these elements are important-it shows you how to implement them. Step beyond conventional boundaries with Digital Dawn and equip yourself for the digital transformation journey. Whether you're a seasoned executive, a budding entrepreneur, or simply a digital enthusiast, this book offers invaluable insights and practical solutions for navigating the challenges and opportunities of the digital age. Prepare to transform your perspective, strategy, and approach to business. The future is here, and the digital dawn awaits.
Hexagonal Architecture Explained
"Looking at the screen of my laptop, I realized that it was full of code that didn't let me understand what it did regarding business logic. From that moment I began to search until I discovered the architecture that decouples the business logic from the frameworks: Hexagonal Architecture, more correctly called Ports & Adapters. From that moment until now, I haven't stopped reading and learning about this pattern."Recommended by giants like Netflix and Amazon, the Hexagonal or Ports & Adapters architecture simplifies testing, protects against business logic leakage, supports changing technologies in long-running system, and lets you apply Domain Driven Design. In this definitive book on the subject, pattern author Dr. Alistair Cockburn and Juan Manuel Garrido de Paz lay bare all of the intricacies of the pattern, providing sample code and answering your many frequently asked questions.
Old Inertia and New Technologies
This book is an eclectic set of reflections on human activities related to modern technology. These reflections go from business, science, artificial intelligence and life itself. The book touches on topics like memory, learning, writing, and love and in the end it tries to understand why we do what we do as humans in a fast moving technological world.The way of presenting these ideas is to provoke reflections and thoughts on the reader. The concepts are not conclusive but the opposite, they intend to produce more thoughts and ideas and joining the dots between what is presented in the book and the readers' personal lives and activities is a main goal.
AI iQ for a Human-Focused Future
AI iQ for a Human-Focused Future: Strategy, Talent, and Culture offers a pioneering approach to integrating artificial intelligence (AI) and generative AI (GenAI) in business, emphasizing a business strategy first mindset over a technologycentric one.This book challenges the usual hype surrounding AI, advocating for a more realistic perspective. It delves into the evolution of AI, from traditional data science and machine learning to GenAI, all through the lens of strategic business application. Unlike other texts, this book moves away from case studies, favoring practical, real-world advice from extensive field experience. This book presents strategies for creating an environment that not only accepts but thrives on AI, focusing on strategic leadership, talent development, and inclusivity. It highlights crucial roles, such as the Chief AI Officer, and emphasizes the importance of diversity in AI teams. Uniquely, each chapter concludes with key takeaways, offering actionable steps, and implementation tips. This practical approach transforms theoretical concepts into actionable business strategies, providing leaders with the tools to apply AI initiatives effectively in their organizations.This book is more than an informative resource; it's a practical toolkit for any business leader aiming to navigate the evolving landscape of AI and GenAI, ensuring their organization is prepared for sustainable growth and success in an AI-driven future.
Microsoft Azure AI Fundamentals AI-900 Exam Guide
Get ready to pass the certification exam on your first attempt by gaining actionable insights into AI concepts, ML techniques, and Azure AI services covered in the latest AI-900 exam syllabus from two industry expertsKey Features- Discover Azure AI services, including computer vision, Auto ML, NLP, and OpenAI- Explore AI use cases, such as image identification, chatbots, and more- Work through 145 practice questions under chapter-end self-assessments and mock exams- Purchase of this book unlocks access to web-based exam prep resources, including mock exams, flashcards, and exam tipsBook DescriptionThe AI-900 exam helps you take your first step into an AI-shaped future. Regardless of your technical background, this book will help you test your understanding of the key AI-related topics and tools used to develop AI solutions in Azure cloud.This exam guide focuses on AI workloads, including natural language processing (NLP) and large language models (LLMs). You'll explore Microsoft's responsible AI principles like safety and accountability. Then, you'll cover the basics of machine learning (ML), including classification and deep learning, and learn how to use training and validation datasets with Azure ML. Using Azure AI Vision, face detection, and Video Indexer services, you'll get up to speed with computer vision-related topics like image classification, object detection, and facial detection. Later chapters cover NLP features such as key phrase extraction, sentiment analysis, and speech processing using Azure AI Language, speech, and translator services. The book also guides you through identifying GenAI models and leveraging Azure OpenAI Service for content generation. At the end of each chapter, you'll find chapter review questions with answers, provided as an online resource.By the end of this exam guide, you'll be able to work with AI solutions in Azure and pass the AI-900 exam using the online exam prep resources.What you will learn- Discover various types of artificial intelligence (AI)workloads and services in Azure- Cover Microsoft's guiding principles for responsible AI development and use- Understand the fundamental principles of how AI and machine learning work- Explore how AI models can recognize content in images and documents- Gain insights into the features and use cases for natural language processing- Explore the capabilities of generative AI servicesWho this book is forWhether you're a cloud engineer, software developer, an aspiring data scientist, or simply interested in learning AI/ML concepts and capabilities on Azure, this book is for you. The book also serves as a foundation for those looking to attempt more advanced AI and data science-related certification exams (e.g. Microsoft Certified: Azure AI Engineer Associate). Although no experience in data science and software engineering is required, basic knowledge of cloud concepts and client-server applications is assumed.Table of Contents- Identify Features of Common AI Workloads- Identify the Guiding Principles for Responsible AI- Identify Common Machine Learning Techniques- Describe Core Machine Learning Concepts- Describe Azure Machine Learning Capabilities- Identify Common Types of Computer Vision Solutions- Identify Azure Tools and Services for Computer Vision Tasks- Identify Features of Common NLP Workload Scenarios- Identify Azure Tools and Services for NLP Workloads- Identify Features of Generative AI Solutions- Identify Capabilities of Azure OpenAI Service
Ultimate Microsoft Cybersecurity Architect SC-100 Exam Guide
Master Cybersecurity with SC-100: Your Path to Becoming a Certified Architect! Prepare confidently for your SC-100 exam with this comprehensive Microsoft cybersecurity architect SC-100 exam guide. Gain practical examples for certification, clear explanations of Zero Trust frameworks and cloud security design, and step-by-step solutions for threat modeling and resilient solution architecture in enterprise environments. Book Description Ultimate Microsoft Cybersecurity Architect SC-100 Exam Guide is your definitive resource for mastering the SC-100 exam and advancing your career in cybersecurity. This comprehensive resource covers all exam objectives in detail, equipping you with the knowledge and skills needed to design and implement effective security solutions. Clear explanations and practical examples ensure you grasp key concepts such as threat modeling, security operations, and identity management. In addition to theoretical knowledge, the book includes real-world case studies and hands-on exercises to help you apply what you've learned in practical scenarios. Whether you are an experienced security professional seeking to validate your skills with the SC-100 certification or a newcomer aiming to enter the field, this resource is an invaluable tool. By equipping you with essential knowledge and practical expertise, it aids in your job role by enhancing your ability to protect and secure your organization's critical assets. With this guide, you will be well on your way to becoming a certified cybersecurity architect. What You'll Learn Inside: Hands-on approaches to security operations design for enterprise environments and creating resilient security frameworksDetailed guidance for identity and access management for privileged users and secure endpoint designStrategies for hybrid and multi-cloud security frameworks, compliance-driven architecture, and advanced data protectionReal-world case studies for cybersecurity architect guide, security operations architect roles, and application security exam readinessCoverage of secure network and endpoint solution design, compliance strategies, and Microsoft security framework principlesInsights into application security best practices for Microsoft exams and threat modeling for dynamic environmentsStep-by-step exam tips and practical techniques for SC-100 certification successWho Should Read This Book?Cybersecurity professionals aiming for the SC-100 exam book and Microsoft architect certificationArchitects, engineers, and IT managers preparing for compliance architect and real-world security solution designAnyone focused on Zero Trust security, threat modeling, and advanced data protection strategy for Microsoft platforms.Why This Guide?All content is accurate, policy-compliant, and built for KDP-no unauthorized publisher, brand, or character namesWritten in a friendly, human-like tone for better readability and search optimization.Table of Contents1. Zero Trust Frameworks and Best Practices Simplified2. Cloud Blueprint-Conforming Solutions3. Microsoft Security Framework-Compliant Solutions4. Cybersecurity Threat Resilience Design5. Compliance-Driven Solution Architecture6. Identity and Access Control Design7. Designing Access Security for High-Privilege Users8. Security Operations Design9. Microsoft 365 Security Design10. Application Security Design11. Data Protection Strategy Development12. Security Specifications for Cloud Services13. Hybrid and Multi-Cloud Security Framework14. Secure Endpoint Solution Design15. Secure Network Design Index
AI iQ for a Human-Focused Future
AI iQ for a Human-Focused Future: Strategy, Talent, and Culture offers a pioneering approach to integrating artificial intelligence (AI) and generative AI (GenAI) in business, emphasizing a business strategy first mindset over a technologycentric one.This book challenges the usual hype surrounding AI, advocating for a more realistic perspective. It delves into the evolution of AI, from traditional data science and machine learning to GenAI, all through the lens of strategic business application. Unlike other texts, this book moves away from case studies, favoring practical, real-world advice from extensive field experience. This book presents strategies for creating an environment that not only accepts but thrives on AI, focusing on strategic leadership, talent development, and inclusivity. It highlights crucial roles, such as the Chief AI Officer, and emphasizes the importance of diversity in AI teams. Uniquely, each chapter concludes with key takeaways, offering actionable steps, and implementation tips. This practical approach transforms theoretical concepts into actionable business strategies, providing leaders with the tools to apply AI initiatives effectively in their organizations.This book is more than an informative resource; it's a practical toolkit for any business leader aiming to navigate the evolving landscape of AI and GenAI, ensuring their organization is prepared for sustainable growth and success in an AI-driven future.
The Rise of AI User Applications
This monograph introduces readers to core theories and applications in the chatbot AI context. Although AI is attracting significant attention, there is a literature gap and lack of practical guidelines on the key drivers of chatbot efficiency and agency capacity. There is a caveat between algorithmic explanations and actionable understanding, despite the acknowledged importance of inherently human-centric properties. Addressing these gaps, this state-of-the-art book offers a distinctive combination of content, theory, practice evaluation, and a holistic framework encompassing cognitive, emotional and social aspects, focusing on how to enhance AI agency and user experience. The framework aims to drive design, encouraging development of intelligent systems, techniques to evaluate chatbot with purposes, to appropriately meet user needs and market demand for responsible and explainable AI, XAI. Avenues for transforming business and life by implementing new generation AI systems are further discussed, as well as recommendations to overcome consumer resistance and advice for policy measures to reduce risks given the AI boost. While the community is still in an exploratory mode, we hope "The Rise of AI User Applications: Chatbots Integration Foundations and Trends" provides the needed understanding and will inspire researchers across disciplines to combine their efforts and work together on this very intriguing topic.
Flexible Workflows
Traditional workflow management systems support the fulfillment of business tasks by providing guidance along a predefined workflow model. Due to the shift from mass production to customization, flexibility has become important in recent decades, but the various approaches to workflow flexibility either require extensive knowledge acquisition and modeling, or active intervention during execution. Pursuing flexibility by deviation compensates for these disadvantages by allowing alternative paths of execution at run time without requiring adaptation to the workflow model.This work, Flexible Workflows: A Constraint- and Case-Based Approach, proposes a novel approach to flexibility by deviation, the aim being to provide support during the execution of a workflow by suggesting items based on predefined strategies or experiential knowledge, even in case of deviations. The concepts combine two familiar methods from the field of AI - constraint satisfaction problem solving, and process-oriented case-based reasoning. The combined model increases the capacity for flexibility. The experimental evaluation of the approach consisted of a simulation involving several types of participant in the domain of deficiency management in construction. The book contains 7 chapters covering foundations; domains and potentials; prerequisites; constraint based workflow engine; case based deviation management; prototype; and evaluation, together with an introduction, a conclusion and 3 appendices.Demonstrating high utility values and the promise of wide applicability in practice, as well as the potential for an investigation into the transfer of the approach to other domains, the book will be of interest to all those whose work involves workflow management systems.
Azure Data Engineer Associate Certification Guide - Second Edition
Achieve Azure Data Engineer Associate certification success with this DP-203 exam guidePurchase of this book unlocks access to web-based exam prep resources including mock exams, flashcards, and exam tips, and the eBook PDFKey Features- Prepare for the DP-203 exam with expert insights, real-world examples, and practice resources- Gain up-to-date skills to thrive in the dynamic world of cloud data engineering- Build secure and sustainable data solutions using Azure servicesBook DescriptionOne of the top global cloud providers, Azure offers extensive data hosting and processing services, driving widespread cloud adoption and creating a high demand for skilled data engineers. The Azure Data Engineer Associate (DP-203) certification is a vital credential, demonstrating your proficiency as an Azure data engineer to prospective employers. This comprehensive exam guide is designed for both beginners and seasoned professionals, aligned with the latest DP-203 certification exam, to help you pass the exam on your first try.The book provides a foundational understanding of IaaS, PaaS, and SaaS, starting with core concepts like virtual machines (VMs), VNETS, and App Services and progressing to advanced topics such as data storage, processing, and security. What sets this exam guide apart is its hands-on approach, seamlessly integrating theory with practice through real-world examples, practical exercises, and insights into Azure's evolving ecosystem. Additionally, you'll unlock lifetime access to supplementary practice material on an online platform, including mock exams, interactive flashcards, and exam tips, ensuring a comprehensive exam prep experience.By the end of this book, you'll not only be ready to excel in the DP-203 exam, but also be equipped to tackle complex challenges as an Azure data engineer.What you will learn- Design and implement data lake solutions with batch and stream pipelines- Secure data with masking, encryption, RBAC, and ACLs- Perform standard extract, transform, and load (ETL) and analytics operations- Implement different table geometries in Azure Synapse Analytics- Write Spark code, design ADF pipelines, and handle batch and stream data- Use Azure Databricks or Synapse Spark for data processing using Notebooks- Leverage Synapse Analytics and Purview for comprehensive data exploration- Confidently manage VMs, VNETS, App Services, and moreWho this book is forThis book is for data engineers who want to take the Azure Data Engineer Associate (DP-203) exam and delve deep into the Azure cloud stack. Engineers and product managers new to Azure or preparing for interviews with companies working on Azure technologies will find invaluable hands-on experience with Azure data technologies through this book.A basic understanding of cloud technologies, ETL, and databases will assist with understanding the concepts covered.
Learn Penetration Testing with Python 3.x
Master Python 3 to develop your offensive arsenal tools and exploits for ethical hacking and red teamingDESCRIPTION This book starts with an understanding of penetration testing and red teaming methodologies, and teaches Python 3 from scratch for those who are not familiar with programming. The book also guides on how to create scripts for cracking and brute force attacks. The second part of this book will focus on network and wireless level. The book will teach you the skills to create an offensive tool using Python 3 to identify different services and ports. You will learn how to use different Python network modules and conduct network attacks. In the network monitoring section, you will be able to monitor layer 3 and 4. Finally, you will be able to conduct different wireless attacks. The third part of this book will focus on web applications and exploitation developments. It will start with how to create scripts to extract web information, such as links, images, documents etc. We will then move to creating scripts for identifying and exploiting web vulnerabilities and how to bypass web application firewall. It will move to a more advanced level to create custom Burp Suite extensions that will assist you in web application assessments.This edition brings chapters that will be using Python 3 in forensics and analyze different file extensions. The next chapters will focus on fuzzing and exploitation development, starting with how to play with stack, moving to how to use Python in fuzzing, and creating exploitation scripts. Finally, it will give a guide on how to use ChatGPT to create and enhance your Python 3 scripts.WHAT YOU WILL LEARN● Learn to code Python scripts from scratch to prevent network attacks and web vulnerabilities.● Conduct network attacks, create offensive tools, and identify vulnerable services and ports.● Perform deep monitoring of network up to layers 3 and 4.● Execute web scraping scripts to extract images, documents, and links.● Use Python 3 in forensics and analyze different file types.● Use ChatGPT to enhance your Python 3 scripts.WHO THIS BOOK IS FORThis book is for penetration testers, security researchers, red teams, security auditors and IT administrators who want to start with an action plan in protecting their IT systems. All you need is some basic understanding of programming concepts and working of IT systems.
Content Design, Second edition
Sarah Winters (internationally renowned leader and founder of Content Design London) and content designer Rachel Edwards explain how to use content design techniques to make your content better for your users, and your organisation.They explain: what content design is, why content design is different from other types of writing, how to use data and evidence to create good content, who to involve in content creation.Using real-world and imagined examples, this practical guide supports you through the content design process one step at a time. This second edition includes updated case studies and a new chapter on journey mapping.Chapter 1: Why content design mattersChapter 2: The science of readingChapter 3: Content discovery and researchChapter 4: User stories and job storiesChapter 5: Journey mappingChapter 6: Bringing your organisation with youChapter 7: Designing contentChapter 8: Writing contentChapter 9: Pair writingChapter 10: CritsChapter 11: Finished pages
Computer-Supported Collaboration
Computer-Supported Collaboration Discover the latest developments in AR, VR, mobile, and wearable technologies for the remote guidance of physical tasks In Computer-Supported Collaboration: Theory and Practice, an expert team of researchers delivers the latest instruction in using augmented reality (AR), virtual reality (VR), and mobile or wearable technology to support remote guidance on physical tasks. The authors offer an overview of the field before moving on to discuss state-of-the-art research developments in everything from shared visual spaces to the use of hand gestures and gaze information for better collaboration. The book also describes the hardware devices, software tools, and libraries that can be used to help build remote guidance systems, as well as the industrial systems and applications that have been used in real world settings. Finally, Computer-Supported Collaboration includes a discussion of the current challenges faced by practitioners in the field and likely future directions for new research and development. Readers will also discover: A thorough introduction and review of the art of remote guidance research and engineering Comprehensive explorations of the shared visual space used to support common grounding and the remote guidance of physical tasks, as well as mobility support for local workers Practical discussions of mobility support of workers and helpers in remote guidance, including systems that support hands-free interaction In-depth explorations of communication cues in remote guidance, including systems that support gesturing and sketching on a touch-based display Perfect for researchers and professionals working in human-computer interaction or computer-supported collaborative work, Computer-Supported Collaboration: Theory and Practice is also an ideal resource for educators and graduate students teaching or studying in these fields.
![Taking [A]part](https://cdn.kingstone.com.tw/english/images/product/2592/9780262552592m.webp "Taking [A]part")
Taking [A]part
A critical inquiry into the value and experience of participation in design research. In Taking [A]part, John McCarthy and Peter Wright consider a series of boundary-pushing research projects in human-computer interaction (HCI) in which the design of digital technology is used to inquire into participative experience. McCarthy and Wright view all of these projects--which range from the public and performative to the private and interpersonal--through the critical lens of participation. Taking participation, in all its variety, as the generative and critical concept allows them to examine the projects as a part of a coherent, responsive movement, allied with other emerging movements in DIY culture and participatory art. Their investigation leads them to rethink such traditional HCI categories as designer and user, maker and developer, researcher and participant, characterizing these relationships instead as mutually responsive and dialogical. McCarthy and Wright explore four genres of participation--understanding the other, building relationships, belonging in community, and participating in publics--and they examine participatory projects that exemplify each genre. These include the Humanaquarium, a participatory musical performance; the Personhood project, in which a researcher and a couple explored the experience of living with dementia; the Prayer Companion project, which developed a technology to inform the prayer life of cloistered nuns; and the development of social media to support participatory publics in settings that range from reality game show fans to on-line deliberative democracies.
Email and the Everyday
An exploration of how email is experienced, understood, and materially structured as a practice spanning our everyday domestic and work lives. Despite its many obituaries, email is not dead. As a global mode of business and personal communication, email outstrips newer technologies of online interaction; it is deeply embedded in our everyday lives. And yet--perhaps because the ubiquity of email has obscured its study--this is the first scholarly book devoted to email as a key historical, social, and commercial site of digital communication in our everyday lives. In Email and the Everyday, Esther Milne examines how email is experienced, understood, and materially structured as a practice spanning the domestic and institutional spaces of daily life. Email experiences range from the routine and banal to the surprising and shocking. Drawing on interviews and online surveys, Milne focuses on both the material and the symbolic properties of email. She maps the development of email as a technology and as an industry; considers institutional uses of email, including "bureaucratic intensity" of workplace email and the continuing vibrancy of email groups; and examines what happens when private emails end up in public archives, discussing the Enron email dataset and Hillary Clinton's infamous private server. Finally, Milne explores the creative possibilities of email, connecting eighteenth-century epistolary novels to contemporary "email novels," discussing the vernacular expression of ASCII art and mail art, and examining email works by Carl Steadman, Miranda July, and others.
Hands-On AWS Cdk
Looking to accelerate development and build cloud native applications with AWS Cloud Development Kit? Through hands-on projects, you'll learn the basics of AWS CDK, the tool of choice for many of the world's largest technology companies. Informed by real case studies and years of work with enterprise-scale cloud architectures, this book will benefit both novice and advanced cloud developers. It's complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions to help you build a shareable portfolio of completed projects, demonstrating your ability to build cloud infrastructure at scale. You'll explore: Basic cloud computing concepts, including the AWS Well-Architected Framework End-to-end cloud native software and infrastructure as code The benefits of a reusable code library to accelerate your projects Functional modules of code that can stand alone or build toward an integrated cloud application
Developing Solutions for Microsoft Azure AZ-204 Exam Guide - Second Edition
Uncover the fundamental elements for developing and maintaining cloud-based solutions on Azure Key FeaturesWritten by Microsoft technical trainers, to help you explore exam topics in a structured wayUnderstand the "why", and not just "how" behind design and solution decisionsLearn Azure development principles with online exam preparation materialsPurchase of this book unlocks access to web-based exam prep resources including mock exams, flashcards, exam tips, and the eBook pdfBook DescriptionGet ready to delve into Microsoft Azure and build efficient cloud-based solutions with this updated second edition. Authored by seasoned Microsoft trainers, Paul Ivey and Alex Ivanov, this book offers a structured approach to mastering the AZ-204 exam topics while focusing on the intricacies of Azure development.You'll familiarize yourself with cloud fundamentals, understanding the core concepts of Azure and various cloud models. Next, you'll gain insights into Azure App Service web apps, containers and container-related services in Azure, Azure Functions, and solutions using Cosmos DB and Azure Blob Storage. Later, you'll learn how to secure your cloud solutions effectively as well as how to implement message- and event-based solutions and caching. You'll also explore how to monitor and troubleshoot your solutions effectively. To build on your skills, you'll get hands-on with monitoring, troubleshooting, and optimizing Azure applications, ensuring peak performance and reliability. Moving ahead, you'll be able to connect seamlessly to third-party services, harnessing the power of API management, event-based solutions, and message-based solutions.By the end of this MS Azure book, you'll not only be well-prepared to pass the AZ-204 exam but also be equipped with practical skills to excel in Azure development projects.What you will learnIdentify cloud models and services in AzureDevelop secure Azure web apps and host containerized solutions in AzureImplement serverless solutions with Azure FunctionsUtilize Cosmos DB for scalable data storageOptimize Azure Blob storage for efficiencySecurely store secrets and configuration settings centrallyEnsure web application security with Microsoft Entra ID authenticationMonitor and troubleshoot Azure solutionsWho this book is forWhether you're looking to validate your existing skills or enhance your Azure knowledge, this comprehensive guide offers a structured approach to mastering key concepts and passing the AZ-204 certification exam. It will be beneficial to have at least one year of Azure development experience and proficiency in at least one Azure-supported programming language to get the most out of this book. Additionally, familiarity with Azure CLI and PowerShell will also be helpful.
Probability and Statistics for Machine Learning
This book covers probability and statistics from the machine learning perspective. The chapters of this book belong to three categories: 1. The basics of probability and statistics: These chapters focus on the basics of probability and statistics, and cover the key principles of these topics. Chapter 1 provides an overview of the area of probability and statistics as well as its relationship to machine learning. The fundamentals of probability and statistics are covered in Chapters 2 through 5. 2. From probability to machine learning: Many machine learning applications are addressed using probabilistic models, whose parameters are then learned in a data-driven manner. Chapters 6 through 9 explore how different models from probability and statistics are applied to machine learning. Perhaps the most important tool that bridges the gap from data to probability is maximum-likelihood estimation, which is a foundational concept from the perspective of machine learning. This concept is explored repeatedly in these chapters. 3. Advanced topics: Chapter 10 is devoted to discrete-state Markov processes. It explores the application of probability and statistics to a temporal and sequential setting, although the applications extend to more complex settings such as graphical data. Chapter 11 covers a number of probabilistic inequalities and approximations. The style of writing promotes the learning of probability and statistics simultaneously with a probabilistic perspective on the modeling of machine learning applications. The book contains over 200 worked examples in order to elucidate key concepts. Exercises are included both within the text of the chapters and at the end of the chapters. The book is written for a broad audience, including graduate students, researchers, and practitioners.
Mastering Python 3 Programming
Navigating the dynamic landscape of web development can be a daunting task, "TypeScript Crash Course" is a guide to help you on the journey of mastering TypeScript, one of today's most sought-after skills in the tech market. Starting from the basics and core principles to gradually building up to more advanced concepts, this book will help you move to practical examples of converting an application from JavaScript, React, and Node to TypeScript. This book also offers insights into leveraging TypeScript for both front-end and back-end development, ensuring readers can tackle any project with confidence, from development to deployment. This guide is not just about learning a new programming language; it is about enhancing your career in the tech industry by building more reliable applications. This book focuses on applying TypeScript in diverse practical scenarios to significantly shorten your learning curve.
Will and Responsibility
This book explores the authors' legal thinking on artificial intelligence (AI), a topic of burgeoning interest in the technology sector and among the general public. As part of the Human Intelligence book series, it primarily addresses the legislative and philosophical challenges posed by AI technology. A key philosophical concern discussed is the implications of AI surpassing human intelligence in certain domains, particularly the definition of rights and responsibilities for robots. Without clear resolutions to these issues, the deployment of AI technology may face significant hurdles. The book covers various aspects, including the legal recognition of robots as rights-holders, strategies for implementing these rights, assigning responsibilities to robots, intellectual property rights for robotic inventions, personality rights for companion robots, and an evaluation of the pros and cons of a binary legal system.
Introduction to Artificial Intelligence (AI)
This book covers the state of the art in AI research, including machine learning, natural language processing, computer vision, and robotics.
Learn Ansible - Second Edition
Learn how to write and run Ansible Playbooks, from the basics to launching complex multi-tier applications across public cloud platforms such as Amazon Web Services (AWS) and Microsoft AzureKey Features: - Write roles to automate everything, from basic apps to the entire cloud infrastructure- Leverage Ansible's module ecosystem to streamline tasks across cloud platforms, operating systems, and apps- Adopt DevOps practices and integrate Ansible with CI/CD platforms to streamline automation workflows- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Are you tired of manually deploying and managing your infrastructure and looking for ways to streamline your deployments, introduce consistency and collaboration, and save time? If so, then Learn Ansible is for you. Written by a DevOps practitioner and system administrator with 30+ years of experience, this book will teach you how to automate repetitive tasks and effortlessly manage several resources from a single code base.From installing Ansible and writing your first playbook to deploying multi-tier applications across different cloud platforms, this book will take you on an exciting learning journey. By learning the art of defining highly available cloud infrastructure using code, you'll find it easy to distribute configurations alongside your application. You'll explore Ansible Galaxy, learn about community-contributed Ansible roles, and discover how to create and share your own roles. Later, the book delves into the capabilities of Ansible AWX and integrating Ansible with your CI/CD pipelines, using Azure DevOps and GitHub Actions. With real-world examples and hands-on tutorials, you'll build a solid foundation to tackle any automation project.By the end of this book, you'll be able to confidently implement Ansible in your environment and day-to-day workflows, taking your deployments to the next level.What You Will Learn: - Understand how to install and configure Ansible on Linux, macOS, and Windows- Write Ansible playbooks to automate system configuration and deployment- Deploy applications such as LAMP stacks and WordPress using Ansible- Create reusable roles and use Ansible Galaxy for sharing- Automate infrastructure deployments on cloud platforms such as AWS and Azure- Execute your Ansible playbooks with GitHub Actions and Azure DevOps- Scan playbooks for security issues and secure systems using Ansible- Centralize and manage Ansible deployments using Ansible AWXWho this book is for: Learn Ansible is for system administrators, developers, and infrastructure engineers who want to implement infrastructure automation and configuration management using Ansible. The hands-on tutorials make this book ideal for both beginners as well as intermediate users looking to take their Ansible skills to the next level. Technology professionals working with public cloud platforms like AWS and Azure will also find valuable insights into automating deployments.Table of Contents- Installing and Running Ansible- Exploring Ansible Galaxy- The Ansible Commands- Deploying a LAMP Stack- Deploying WordPress- Targeting Multiple Distributions- Ansible Windows Modules- Ansible Network Modules- Moving to the Cloud- Building Out a Cloud Network- Highly Available Cloud Deployments- Building Out a VMware Deployment- Scanning Your Ansible Playbooks- Hardening Your Servers Using Ansible- Using Ansible with GitHub Actions and Azure DevOps- Introducing Ansible AWX and Red Hat Ansible Automation Platform- Next Steps with Ansible
Deep Learning and IoT in Healthcare Systems
This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It describes deep learning techniques along with IoT used by practitioners and researchers worldwide.
Artificial Intelligence and Computing Logic
Focusing on the cutting-edge applications of AI cognitive computing from neuromorphic to quantum cognition as applied to AI business analytics, this new volume explores AI's importance in managing cognitive processes along with ontological modeling concepts for venturing into new business frontiers. The volume presents a selection of significant new accomplishments in the areas of AI cognitive computing ranging from neurocognition perception and decision-making in the human brain--combining neurocognitive techniques and effective computing--to basic facial recognition computing models. Topics include: Agent neurocomputing techniques for facial expression recognition Computing haptic motion and ontology epistemic Characterizations of morph schemas for visual analytics Learning and perceptive computing Functional and structural neuroimaging modeling Observed links between facial recognition and affective emotional processes Interaction of cognitive and emotional processes during social decision-making Neurocognitive processing of emotional facial expressions in individuals Neurocognitive affective system for emotive robot androids Virtual reality-based affect adaptive neuromorphic computing Executive surveys indicate that cognitive adoption is very important in business strategy for success and to remain competitive. Employing cognitive-based processes provides the way to get the right information in the right hands at the right time, which is the key to winning in the digital era and to driving business value that emphasizes competitive differentiation. Several chapters of the volume address the goal of using cognitive technology to improve search capabilities, to provide personalized customer service in business and in health and wellness, and to create better workflow management. Key features: Looks at the newest frontiers on very popular AI and analytics topics Discusses new techniques for visual analytics and data filtering Shows how AI and cognitive science merges with quantum neurocognitive computing Presents ontology models with ontology preservation data filtering techniques Provides a cross-transposition on AI and digitizations for business model innovations Artificial Intelligence and Computing Logic: Cognitive Technology for AI Business Analytics is a valuable resource that informs businesses and other enterprises the value of artificial intelligence and computing logic applications.
Pattern Recognition
This book constitutes the proceedings of the 16th Mexican Conference on Pattern Recognition, MCPR 2024, held in Xalapa, Mexico, during June 19-22, 2024, Proceedings. The 36 full papers were carefully reviewed and selected from 68 submissions. The papers are organized in subject areas as follows: Pattern Recognition and Machine Learning Techniques; Computer Vision; Medical Applications of Pattern Recognition; Language Processing and Recognition; Deep Learning and Neural Networks.
Augmented Reality and Virtual Reality for Education
"Augmented Reality and Virtual Reality for Education" is a comprehensive guide that explores how AR and VR can enhance learning in domains like science, art, history, and language. From designing immersive experiences to integrating with existing curricula, this book provides educators with the tools they need to harness the power of AR and VR in education.
Security+ Exam Pass
���� Get Ready to Ace Your Security+ Exam with the Ultimate Study Bundle! ����Are you ready to take your cybersecurity career to the next level? Look no further! Introducing the "Security+ Exam Pass: (SY0-701)" book bundle - your all-in-one solution for mastering security architecture, threat identification, risk management, and operations.���� BOOK 1: Foundations of Security Architecture ���� Embark on your cybersecurity journey with confidence! This beginner's guide will lay the groundwork for understanding security architecture fundamentals, ensuring you have a rock-solid foundation to build upon. From network security to cryptography, this book covers it all!���� BOOK 2: Mastering Threat Identification ���� Become a threat identification ninja with this comprehensive guide! Learn the strategies and techniques necessary to detect and mitigate various cyber threats, from malware and phishing attacks to insider threats and beyond. Arm yourself with the knowledge needed to stay one step ahead of cybercriminals.���� BOOK 3: Risk Management Essentials ���� Navigate security challenges like a pro! This book will teach you everything you need to know about risk management, from assessing and prioritizing risks to implementing effective mitigation strategies. Protect your organization from potential threats and ensure business continuity with the skills learned in this essential guide.���� BOOK 4: Advanced Security Operations ���� Ready to take your security operations to the next level? Dive into advanced techniques and best practices for implementing security operations. From incident response planning to security automation, this book covers it all, equipping you with the tools needed to excel in the dynamic field of cybersecurity.���� Why Choose Our Bundle? ���� ✅ Comprehensive Coverage: All four books cover the essential topics tested on the SY0-701 exam, ensuring you're fully prepared on exam day. ✅ Beginner-Friendly: Whether you're new to cybersecurity or a seasoned pro, our bundle is designed to meet you where you're at and help you succeed. ✅ Practical Strategies: Learn practical, real-world strategies and techniques that you can apply directly to your cybersecurity practice. ✅ Exam-Focused: Each book is specifically tailored to help you pass the SY0-701 exam, with exam tips, practice questions, and more.Don't leave your cybersecurity career to chance - invest in your future success with the "Security+ Exam Pass: (SY0-701)" book bundle today! ��������
Ccsp
���� Unlock Your Potential with the CCSP: Certified Cloud Security Professional Book Bundle! ����Are you ready to take your career to new heights in the dynamic world of cloud security? Look no further than our exclusive book bundle, designed to guide you from novice to certified expert in no time! ����Introducing the CCSP: Certified Cloud Security Professional Book Bundle, your ultimate resource for mastering cloud security and achieving CCSP certification. �������� Book 1 - Foundations of Cloud Security: A Beginner's Guide to CCSP Get started on your journey with this comprehensive beginner's guide, covering essential concepts, principles, and controls in cloud security. Perfect for newcomers to the field, this book sets the foundation for your success in the world of cloud security. �������� Book 2 - Securing Cloud Infrastructure: Advanced Techniques for CCSP Ready to take your skills to the next level? Dive into advanced techniques and strategies for securing cloud infrastructure like a pro. From multi-cloud environments to advanced encryption methods, this book equips you with the expertise needed to tackle complex security challenges head-on. ����️���� Book 3 - Risk Management in the Cloud: Strategies for CCSP Professionals Risk management is key to maintaining security in the cloud. Learn how to identify, assess, and mitigate risks effectively with this indispensable guide tailored for CCSP professionals. Gain the insights and strategies needed to safeguard your cloud-based systems and applications with confidence. �������� Book 4 - Mastering Cloud Security: Expert Insights and Best Practices for CCSP Certification Ready to become a certified cloud security professional? This book provides expert insights, real-world examples, and best practices to help you ace the CCSP certification exam. With practical guidance from seasoned professionals, you'll be well-prepared to excel in your certification journey. ����Whether you're new to the field or looking to advance your career, the CCSP: Certified Cloud Security Professional Book Bundle has everything you need to succeed. Don't miss out on this opportunity to elevate your skills, boost your career prospects, and become a trusted expert in cloud security. Order now and start your journey to certification success today! ����
Build Ai-Enhanced Audio Plugins with C＋＋
Build AI-Enhanced Audio Plugins with C++ explains how to embed artificial intelligence technology inside tools that can be used by audio and music professionals, through worked examples using Python, C++ and audio APIs which demonstrate how to combine technologies to produce professional, AI-enhanced creative tools.Alongside a freely accessible source code repository created by the author that accompanies the book for readers to reference, each chapter is supported by complete example applications and projects, including an autonomous music improviser, a neural network-based synthesizer meta-programmer and a neural audio effects processor. Detailed instructions on how to build each example are also provided, including source code extracts, diagrams and background theory.This is an essential guide for software developers and programmers of all levels looking to integrate AI into their systems, as well as educators and students of audio programming, machine learning and software development.
Unifying User Stories, Use Cases, Story Maps
Use cases, user stories, and story maps have been circling like comets, competing for the same energy of the same people at the same time. There is something obviously similar about all three but just exactly what isn't obvious. In this ground-breaking book, Dr. Alistair Cockburn, noted expert on all three techniques, co-author of the Agile Manifesto, and author of the definitive work Writing Effective Use Cases, puts them all together, showing how they both complete and complement each other. Cockburn starts by attending to the seven key concepts without which none of them can be written well, and with mastery of which you can move freely between them. From there he breaks down user stories, then use cases, then story maps one by one, in clear and practical terms. Finally, he shows how to move between them, making them more effective in combination. The book contains exercises and drills, making it suitable for self study and classroom teaching.
