Allgemein
Pro Microservices in .NET 10
Learn how to design, build, test, deploy, and monitor microservices using .NET 10. Microservices is a pattern of separating software into small, reusable components to solve specific problems. Each microservice can be independently built, deployed, and scaled. This pattern provides enterprise grade durability and scale to meet complex business goals and customer needs in enterprise systems. While the return is valuable and the concept straightforward, applying it to an enterprise development effort is far more complicated. Where do you start? How do you find the seams between the components? And once you have all the services, how do you deploy and scale them to meet the durability and performance needs of the organization? Pro Microservices in .NET 10 will introduce you to all that and more. The authors get you started with an overview of microservices and other development patterns, event storming, domain-driven design, and the options for developing in ASP.NET. You will use that foundational information to build a reference application throughout the book, exploring both synchronous messaging with HTTP, gRPC, and asynchronous messaging with a service bus. From there, you will create your first microservice using C# and .NET 10, test it using unit and integration tests, and package it into a Docker container. You’ll deploy the container to various Azure services including Kubernetes, Azure Container Apps, App Service, Azure Functions, and KEDA. You will also learn about communication styles, decentralizing data, and testing microservices. Finally, you will learn how to keep services healthy using OpenTelemetry for logging, Aspire for local development, and Azure Application Insights for production. What You Will Learn Build a foundation of basic microservices architecture designFollow an example of using event storming and domain-driven design to understand the monolithic application modified for microservicesLearn about ASP.NET hosting options including MVC, Razor Pages, Web API, and Minimal APIsCall microservices using RPC and messaging communication styles via HTTP and gRPCLearn about asynchronous communication using an enterprise service busComprehend decentralizing data and handling distributed transactionsUnderstand via detailed commands how Docker is used to containerize applicationsLearn to deploy microservices to Kubernetes, Azure Container Apps, App Services, and Azure FunctionsLeverage OpenTelemetry to make your microservices more robust Who This Book Is For This book is for professional developers and software architects looking to level up their skills. Readers should have basic familiarity with Visual Studio or VS Code and experience with .NET, ASP.NET Core, and C#. New to This Edition In this new and updated volume, the authors explore new features from .NET 10 and C# 14 that launched in November 2025, making it easier than ever to design, architect, build, test, and deploy microservices. These enhancements include testing patterns, Docker, Kubernetes, Azure deployment, YARP, and Aspire. Chapter 1: Introducing Microservices.- Chapter 2: Other Software Patterns.- Chapter 3: Searching for Microservices.- Chapter 4: ASP.NET is a Great Place for Microservices.- Chapter 5: Synchronous Communication with Microservices.- Chapter 6: Asynchronous Microservice Messaging.- Chapter 7: Decentralizing Data.- Chapter 8: Testing Microservices.- Chapter 9: Deploying Microservices.- Chapter 10: Healthy Microservices.
AI-Driven Mental Health Chatbots
As artificial intelligence (AI) continues to evolve, its potential role in online mental health therapy is gaining increasing interest. In this study, a quantitative 2x2 factorial experimental design is used to explore how AI transparency, theory of change (ToC), therapy style of advice, AI acceptance rate and type of mental health issue influence user perceptions of AI-driven mental health chatbots. Using a mixed-methods approach that combines quantitative analysis with sentiment and emotional text mining, the research examines how these variables shape user experiences in terms of perceived empathy, satisfaction and treatment outcomes. The findings reveal that participants who are aware they are interacting with AI tend to report more positive experiences, particularly when an emotional ToC is employed. Furthermore, emotional advice styles elicit deeper emotional engagement, while rational advice is associated with more positive sentiment. Additionally, the emotional tone and conversational dynamics vary by discussion topic, with depression-related conversations showing greater emotional intensity. These insights underline the importance of aligning chatbot communication styles with individual user expectations and emotional needs, offering implications for the design of more personalised mental health technologies. Introduction.- Research Gap.- Research Background.- Research Design.- Results.- Discussion.- Conclusion.- Limitations and Future Research Directions.
Mastering ASP.NET Core 10
ASP.NET Core 10 is finally here. Dive into the most encompassing update to Microsoft’s framework for developing web apps using the all-new .NET 10 framework. This book continues the legacy of the classic, bestselling ASP.NET Core manual but with 100% new material. Create modern, high-performance web apps with ease. In this completely new manual, gain a deeper understanding of ASP.NET Core for .NET 10 and dives deep into the tools and techniques required to build modern, extensible web applications. New features and capabilities such as enhancements to the minimal hosting model, improved Blazor capabilities with a unified template, and advanced routing options, and optimizations for performance and security. For each of these topics, make the abstract concrete with real-world examples. Starting with the nuts-and-bolts topics, learn about middleware components, built-in services, request model binding, and more. As you gain knowledge and confidence, the author introduces increasingly more complex topics and advanced features, including endpoint routing and dependency injection. What You Will Learn Explore the entire ASP.NET Core 10 platformApply the new ASP.NET Core for .NET 10 features in your developer environmentSee how to create RESTful web services, web applications, and client-side applicationsBuild on your existing knowledge to get up and running with new programming models quickly and effectively Who This Book Is For This book is for web developers with a basic knowledge of web development and C# who want to incorporate the latest improvements and functionality in ASP.NET Core 10 into their own projects. Chapter 1: Welcome to ASP.NET Core 10.- Chapter 2: Setting Up Your Development Environment.- Chapter 3: Creating Your First ASP.NET Core 10 Application.- Chapter 4: Understanding the ASP.NET Core 10 Pipeline.- Chapter 5: The .NET Ecosystem: Core, Framework, and Beyond.- Chapter 6: Mastering Dependency Injection.- Chapter 7: Routing and Endpoints in ASP.NET Core 10.- Chapter 8: Configuration and Options in ASP.NET Core 10.- Chapter 9: Logging and Monitoring.- Chapter 10: Building Secure Applications.- Chapter 11: Integrating Databases with Entity Framework Core.- Chapter 12: Building Efficient APIs with ASP.NET Core.- Chapter 13: SignalR and Real-Time Communication.- Chapter 14: Caching and Performance Optimization.- Chapter 15: File Handling and Storage.- Chapter 16: Razor Pages: Simplified Web Development.- Chapter 17: Model Binding and Validation.- Chapter 18: Advanced MVC Patterns.- Chapter 19: Blazor Server: A Modern Approach to Web Apps.- Chapter 20: Blazor WebAssembly: Full-Stack Web Development.- Chapter 21: Using Tag Helpers and View Components.- Chapter 22: Building Rich Forms with Tag Helpers.- Chapter 23: Integrating .NET MAUI with ASP.NET Core.- Chapter 24: Building Hybrid Applications with Blazor and .NET MAUI.- Chapter 25: Unit Testing and Integration Testing.- Chapter 26: Optimizing Performance in ASP.NET Core 10.- Chapter 27: Deploying ASP.NET Core Applications.- Chapter 28: Extending ASP.NET Core with Middleware.- Chapter 29: Creating the Final Project: Planning and Setup.- Chapter 30: Building the Final Project.
Practical Ruby Gems
Discover how to enhance your Ruby and Rails projects using Ruby Gems. Practical Ruby Gems, Second Edition is a comprehensive guide written to equip Ruby programmers and web developers with the knowledge and skills to effectively utilize existing Gems - and also create new Gem releases, allowing easy distribution, dependency management, and streamlined integration. The modernized Second Edition is updated to reflect the latest version of Ruby Gems (7.0.4) and Ruby language (3.2). The author introduces new software tools and systems like Bundler, Docker, and Nix, demonstrating how to integrate them seamlessly with Ruby Gems, as well as a significantly expanded section on how to create your own gems – including practical examples of problems faced in real-world scenarios. As dependency management creates challenges for Ruby developers, this is the only book of its kind to offer Ruby Gems as an important solution. Explore and embrace the modern Ruby Gems ecosystem and learn best practices for creation, distribution, and integration with other dependency management systems. What You Will Learn: • Understand the fundamentals of Ruby Gems as a solution for dependency management • Install and configure RubyGems for seamless integration into your projects • Learn how to debug common problems faced with RubyGems. • Explore advanced topics like distributing gems via RPM and Apt packages, handling native dependencies, and hosting Gem infrastructure. Who this Book is for: Ruby programmers as well as web developers who use Rails and wish to extend the functionality of their projects. Chapter 1: Getting Started: An Introduction to RubyGems.- Chapter 2: Taming Project Dependencies: Learning Bundler.- Chapter 3: Juggling Ruby Versions: The rbenv Way.- Chapter 4: Streamlining Your Toolchain with Mise.- Chapter 5: Reproducible Ruby: RubyGems meets Nix.- Chapter 6: At Your Fingertips: Gem Command Reference.- Chapter 7: Bundler in Action: Commands That Save Your Day.- Chapter 8: Behind the Curtain: Exploring the RubyGems API.- Chapter 9: Bundler Under the Hood: API Power Tools.- Chapter 10: Close to Home: Working with Local Gems.- Chapter 11: Gems in Containers: Docker and Ruby in Harmony.- Chapter 12: Crafting Your Legacy: Building Custom Gems.- Chapter 13: Going Public: Your Guide to RubyGems.org.- Chapter 14: Gemstash: Your Private Gem Server Treasury.- Chapter 15: Gems on the Wire: Serving Gems over HTTP.- Chapter 16: From Gem to Package: Native Distribution Solutions.
Augmented and Virtual Reality in Immersive Healthcare
Future-proof your medical expertise with this indispensable guide that offers a comprehensive, expert-led exploration of how Augmented and Virtual Reality (AR/VR) are revolutionizing healthcare. Augmented reality (AR) and virtual reality (VR) have profoundly impacted the healthcare sector, introducing ground-breaking applications ranging from surgical simulations and pain management to mental health therapies and patient education. This book delves into the various applications of AR and VR, including deep learning, surgical training, teleconsultation, and patient rehabilitation. By blending theoretical insights with practical case studies, it provides a deeper understanding of how these technologies are being integrated into medical practices to improve outcomes, enhance patient care, and train healthcare professionals. It also explores cutting-edge developments, such as AI-powered AR systems and VR-based mental health treatments, highlighting the future of healthcare innovation. With contributions from leading experts in healthcare, technology, and academia, this book offers a multidimensional perspective on the challenges and opportunities associated with AR and VR in the medical field. Through its accessible language and detailed illustrations, this book is an indispensable guide for anyone interested in the intersection of technology and medicine. Readers will find the volume: Provides a comprehensive exploration of how immersive technology is unlocking new possibilities in healthcare, education, and rehabilitation;Offers insights from top researchers and practitioners in the field, providing authoritative perspectives on the latest technologies, applications, and trends shaping the future of XR;Offers practical guidance and actionable insights to help you harness the power of AR and VR, accelerating innovation and driving real-world impacts;Uncovers the diverse range of applications empowered by the convergence of healthcare and gamification, revolutionizing healthcare delivery and improving patient outcomes. Audience Healthcare professionals, medical educators and students, engineers, developers, researchers, and policymakers looking for cutting-edge technologies to enhance patient care and treatment outcomes. Hari Murthy, PhD is an Assistant Professor in the Department of Electronics and Communication Engineering at Christ University, Bangalore, India. He has edited three books and published papers in international journals and conferences. His research interests include data engineering and material science. Kukatlapalli Pradeep Kumar, PhD is an Associate Professor at Christ University, Bangalore, India. with more than 12 years of experience. He is a certified CISCO and Microsoft trainer in the Data Analytics domain. His areas of interest include data science, information security, computer forensics, data provenance, software engineering, and multiparty secret sharing. Tulsi Pawan Fowdur, PhD is an Associate Professor in the Department of Electrical and Electronic Engineering of the University of Mauritius, Moka, Mauritius. He has published several papers on his research interests in mobile and wireless communications, multimedia communications, networking and security, telecommunications applications development, Internet of Things, and AI. Aynur Unal, PhD is based in Stanford Medical School, Global Health Innovation Center, Palo Alto, CA, USA. She has a strong engineering design and manufacturing background and is credited with developing the Acoustics Institute in conjunction with the NASA-AMES research fellowships. Now, her work revolves around social entrepreneurial projects benefitting needy children and the elderly.
AI-driven Innovations in Physiotherapy and Oncology, Volume 2
AI-driven Innovations in Physiotherapy and Oncology 2 explores the transformative impact of artificial intelligence (AI) on two critical domains of healthcare. As the global demand for personalized, efficient and data-driven medical interventions increases, this book offers a timely examination of how AI technologies are reshaping clinical practices in both physiotherapy and oncology. The book explores how AI supports early cancer detection, personalized treatment planning and monitoring of disease progression, while also playing a pivotal role in physiotherapy by enabling intelligent rehabilitation strategies tailored to oncology patients. From AI-driven motion analysis and virtual physiotherapy assistants to predictive models for treatment response and functional recovery, this book showcases innovations that optimize physical therapy outcomes for cancer patients. It also addresses ethical challenges, data governance and the integration of AI within clinical workflows. Designed for clinicians, researchers and healthcare innovators, this book is a vital resource for understanding how AI bridges the gap between oncology care and rehabilitative physiotherapy. Abhishek Kumar, Senior IEEE Member and Professor at Chandigarh University, India, is a prolific researcher with 170+ publications and has international postdoctoral experience. His expertise spans AI, renewable energy and image processing. Priya Batta is Associate Professor at Amity School of Engineering and Technology, Amity University Punjab, Mohali, India. Her expertise includes AI, blockchain and IoT. Sachin Ahuja is Executive Director of Engineering and Professor at Chandigarh University, India. He has guided numerous ME and PhD scholars and currently specializes in AI, machine learning, data mining and related areas. Pramod Singh Rathore, Assistant Professor at Manipal University Jaipur, India, has over 12 years of experience and 85+ publications. His research interests include NS2, networks, data mining, DBMS and professional memberships including ACM and IAENG.
ABC des Grafikdesigns (2. Auflg.)
Ohne Theorie geht es auch in den kreativen Disziplinen nicht, bildet sie doch die Grundlage für die praktische Anwendung. In diesem Buch beschreibt Markus Wäger die Gesetzmäßigkeiten von Grafik und Gestaltung anschaulich und verständlich. Er erklärt wichtige Fachbegriffe und Regeln und verrät die Codes, die jeder kennen sollte, um geschickt mit der Wahrnehmung des Betrachters zu spielen. Jeweils eine Doppelseite behandelt einen Fachbegriff und erklärt ihn leicht nachvollziehbar, logisch sortiert und so weit wie möglich visuell. So ist eine schnelle Einarbeitung garantiert. Nach der Lektüre gehen Sie neu sensibilisiert und mit geschärftem Blick an die Arbeit! Ein Buch für Auszubildende, Studierende und Fortgeschrittene aus den Bereichen Kommunikationsdesign, Mediengestaltung und Webdesign Aus dem Inhalt: Begriffsdefinition rund um das Thema GrafikdesignPrinzipien und Gestaltgesetze der visuellen WahrnehmungFormenlehre: Die Funktion von Punkt, Linie und Fläche im Grafikdesign; Gestaltungseigenschaften der Grundformen; Anmutung von Formen; Proportionslehre; Gewichtung, Verteilung und BlickführungTypografie: Historische Entwicklung; zeitgemäße Schriftklassifizierung, die der Formenvielfalt des aktuellen Schriftenmarkts gerecht wird; typografische Gestaltung für gut lesbare TexteFarbe: Eine moderne, auf das Mediendesign zugeschnittene Farbenlehre; praktische Grundlagen der Farbharmonien und FarbkontrasteZeichentheorie: Visuelle Kommunikation mit Zeichen, Symbolen, Piktogrammen und Bildern; von der Recherche über die Idee zum Logo; Schriftzüge und Bildmarken gestaltenGestaltungspraxis: Gestaltungsraster und Typografie für Bücher, Magazine, Broschüren und das Webdesign, Corporate Design, CD-Standardisierung und CD-Manual; Gestaltung von Drucksorten, Gestaltungsgrundlagen für Inserate, Plakate, Titelseiten etc.
Edge Artificial Intelligence
Secure your expertise in the next wave of computing with this essential book, which provides a comprehensive guide to Edge AI, detailing its foundational concepts, deployment strategies, and real-world applications for revolutionizing performance and privacy across various industries. Edge AI has the potential to bring the computational power of AI algorithms closer to where data is generated, processed, and utilized. Traditionally, AI models are deployed in centralized cloud environments, leading to latency issues, bandwidth constraints, and privacy concerns. Edge AI addresses these limitations by enabling AI inference and decision-making directly on edge devices, such as smartphones, IoT sensors, and edge servers. Despite its challenges, edge AI presents numerous opportunities across various domains. From real-time health monitoring and predictive maintenance in industrial IoT to personalized recommendations in retail and immersive experiences in augmented reality, edge AI has the potential to revolutionize how we interact with technology. This book aims to provide a comprehensive exploration of edge AI, covering its foundational concepts, development frameworks, deployment strategies, security considerations, ethical implications, emerging trends, and real-world applications. This guide is essential for anyone pushing the boundaries to leverage edge computing for enhanced performance and efficiency. Readers will find this volume: Dives deep into the world of edge AI with a comprehensive exploration covering foundational concepts, development frameworks, deployment strategies, security considerations, ethical implications, governance frameworks, optimization techniques, and real-world applications;Offers practical guidance on implementing edge AI solutions effectively in various domains, including architecture design, development frameworks, deployment strategies, and optimization techniques;Explores concrete examples of edge AI applications across diverse domains such as healthcare, industrial IoT, smart cities, and autonomous systems, providing insights into how edge AI is revolutionizing industries and everyday life;Provides insights into emerging trends and technologies in the field of edge AI, including convergence with blockchain, augmented reality, virtual reality, autonomous systems, personalized experiences, and cybersecurity. Audience Researchers, AI experts, and industry professionals in the field of computer science, IT, and business management. Preeti Agarwal, PhD is an assistant professor in the School of Technology Management and Engineering at the Narsee Monjee Institute of Management Studies with more than 13 years of experience. She has extensive publications in international journals and conferences. Her research focuses on optimizing edge-based frameworks for human activity recognition. Anchit Bijalwan, PhD an Associate Professor in the School of Computing and Innovative Technologies at the British University Vietnam, Hanoi, Vietnam. He has authored two books and published more than fifty research papers in reputed international journals and conferences. His specialization is in privacy and security.
Move First, Align Fast
Praise for MOVE FIRST, Align Fast “In time of massive change, uncertainty and AI, Deepika has created the framework for navigating the ‘Alignment Gap,’ providing the practical tools to measure human readiness and index risk. Move First, Align Fast reframes AI success not needing just technological achievement, but also critical is human-led transformation, offering a powerful approach and resources for sustained performance in dynamic times.” —FAYE SAHAI, Managing Director at Vinaj Ventures, Board Member at Fortune AIQ and Exbourne Group, Chairperson at ANA Innovation Group “The promise of AI implementation lives or dies by its acknowledgment of the human condition. Deepika’s book offers practical frameworks to make it work.” —HAMILTON MANN, Group Vice President of Digital and AI Transformation at Thales, Bestselling Author of Artificial Integrity “There is little doubt these days on how Artificial Intelligence could reshape humanity. Yet, mature firms are stumbling in formulating and executing on a strategy that will reshape material operating metrics. There is a gap between the promise and the reality of AI in traditional institutions. Deepika’s book demystifies the chasm between technical capabilities and material AI enabled momentum. Her insights on applying systems thinking promises to defog the exciting and intimidating world of AI. This book is a valuable read for CXOs looking to achieve takeoff velocity in their ambition to reshape their firms to be relevant in an AI-first age.” —MURLI BULUSWAR, Head of Analytics at Citi “A rare book that gets to the heart of why AI succeeds or stalls. Deepika shows that alignment is not a soft skill—it’s the hard edge of transformation. Leaders ignore this at their peril.” —AVINASH MISRA, Founder and CEO at Skan AI A start-to-finish manual for aligning your organization’s teams with the latest AI technologies In Move First, Align Fast: Frameworks and Scorecards for Human-AI Alignment, seasoned technology and transformation leader Deepika Chopra delivers a comprehensive toolkit and guide for the people side of AI implementation. This is a step-by-step walkthrough for the human beings who will lead and participate in your organization’s AI transformation. It’s also an expansive collection of frameworks, scorecards, measurement tools, and interpretation guides for company leaders who want to keep their change initiatives on track and on schedule. Chopra offers you practical resources, including the ACT Framework, ACT+M™ Scorecard, and the Human-AI Alignment Score (HAAS™), that she developed and refined through her decades-long career advising organizations like Citi, AIG, Siemens, and LPL. You’ll use them to ensure that you’re able to translate your strategy, tools, and your teams’ technical skills into a firm with powerful new capabilities. Inside the book: Detailed walkthroughs for leaders who want to build new, AI-enabled organizations defined by trust, alignment, and a culture of innovationEffective strategies suited to both high-growth startup environments and large enterprises seeking to implement foundational changes to the way they use AI Detailed discussions of the Align, Cultivate, and Transform (ACT) Framework and the tools you need to measure your progress as you implement it across your teams Virtually every organization in every industry can easily access powerful AI technologies with the potential to transform the way they do business. It’s become increasingly clear that the bottleneck is almost always cultivating teams that effectively deploy and integrate those technologies in a way that executes on the strategic vision of their leaders. Move First, Align Fast is the roadmap that business and technology leaders have been waiting for to help them implement new technical capabilities into their companies in ways that ensure they’ll actually be used to their fullest potential. It’s an expert guide to aligning your human resources with the latest AI tools that will prove invaluable to managers, executives, entrepreneurs, and founders everywhere. DEEPIKA CHOPRA is a seasoned technology leader who has spent the last two decades leading enterprise-wide digital and AI transformations in highly regulated industries. She is the creator of several effective change management frameworks, including the ACT Framework, ACT+M™ Scorecard, and the Human-AI Alignment Score.
Netzwerke
Netzwerke verstehen, einrichten, administrieren - mit umfassendem Praxisteil und vielen Schritt-für-Schritt-Anleitungen aus dem Oktober 2025.Netzwerk-Know-how ist in nahezu allen IT-Berufen unerlässlich – dieser praxisorientierte Leitfaden vermittelt es fundiert, verständlich und mit starkem Praxisbezug. Er richtet sich an angehende Netzwerkadministratoren, IT-Fachkräfte und technisch versierte Power-User.Sie lernen wichtige Hardware-Komponenten und die komplette TCP/IP-Protokollfamilie kennen – von IPv4 und IPv6 über ICMP, ARP, TCP und UDP bis hin zu DNS, DHCP und gängigen Anwendungsprotokollen. Anhand nachvollziehbarer Schritt-für-Schritt-Anleitungen setzen Sie ein vollständiges Netzwerk in einer virtuellen Umgebung um. Sie konfigurieren IP-Adressen, Switches und Router (z.B. mit Cisco-Geräten), richten Active Directory ein und implementieren zentrale Netzwerkdienste. Ein eigenes Kapitel zur Fehlersuche zeigt Ihnen bewährte Tools und Methoden für effektives Troubleshooting.Auf diese Weise erfahren Sie, wie moderne Netzwerke konzipiert, implementiert, abgesichert und langfristig betrieben werden und lernen bewährte Best Practices zur Segmentierung, zum Einsatz von Firewalls und zur Einrichtung von VPNs kennen – praxisnah und direkt umsetzbar.Aus dem Inhalt:Teil I: GrundlagenGrundlagen moderner ComputernetzwerkeKabelgebundene ÜbertragungstechnologienAlle relevanten NetzwerkprotokolleSubnetting und CIDRRouting-GrundlagenWichtige Netzwerkanwendungen Teil II: Praxis: Aufbau eines Netzwerks Aufbau einer virtuellen LaborumgebungIP-Grundkonfiguration von Windows und LinuxSwitches und Router einrichtenGängige Serverdienste konfigurierenEinrichtung eines Heimnetzwerks mit einem SoHo-RouterNetzwerk-Troubleshooting Teil III: Drahtlosnetzwerke: WLAN & Co. Konfiguration eines WLAN-NetzwerksSicherheitskonfigurationen Teil IV: Netzwerksicherheit FirewallsVPNs mit IPsec und SSL/TLS Teil V: Netzwerkkonzeption und Cloud Computing NetzwerkplanungCloud Computing in der Praxis: AWSLeseprobe (PDF-Link)Über die Autoren:Eric Amberg ist selbstständiger Experte für IT-Netzwerke und -Sicherheit und hat in den letzten 20 Jahren zahlreiche Projekte aller Größenordnungen durchgeführt. Er verfügt über zahlreiche Zertifizierungen, unter anderem CEH, CISSP, CCNP Security, LPIC-2 und ist zertifizierter Cisco-Trainer (CSI # 34318).Daniel Schmid ist seit über 10 Jahren bei einem großen Energiekonzern im Bereich Netzwerke und Security tätig und leitet dort große, teils internationale Projekte.
African Conference on Research in Computer Science and Applied Mathematics
A Note on Additive Model Building for Spatial Functional Regression.- Quadratic Programming Problems with Preprocessing and a Diagonally Dominant M-matrix.- Beta Prime Kernel Availability Density Estimation of a Repairable Series System.- Imperfect maintenance of series systems.- Performance Evaluation of a Web services.- Modeling and analysis of Covid’19 patients hospitalization dynamic reliability by a semi-Markovian model.- Combinatorial optimization of banana clean reliance.- Adaptive Refined Descriptive Sampling Algorithm for Dependent.- variables using Iman and Conover method in Monte Carlo simulation.- Linear Control Design for Synchronization of Fractional Predator-Prey.- Systems with Group Defense and Harvesting.- Fractional dynamics of a Cholera model with Atangana-Baleanu operator.- Fractional-order dynamics of a Typhoid epidemic model.- A model of plasmid-bearing, plasmid-free competition in a chemostat.- On a slow-fast SEIRS Model structured in age.- Global asymptotic stability for a predator-prey model.- The operating diagram of an SIS model in the chemostat.- On a competition model of two toxin-producing species in the chemostat.
The Data Lakehouse Revolution
We are racing toward a new kind of AI—faster, smarter, and more connected than ever. At the heart of it is the Data Lakehouse, and Databricks is the engine powering the transformation. Whether you're a data scientist training models, an engineer scaling pipelines, or an architect modernizing your stack, this book gives you what you need to stay ahead. Inside, you'll understand how to unlock the full potential of Machine Learning and Generative AI (GenAI) using Databricks—no fluff, just real tools, real strategies, and real results. From MLFlow and AutoML to Unity Catalog, Retrieval Augment Generation (RAG), and Vector Search, you'll get a complete blueprint for building intelligent systems that actually work in production. With step-by-step labs, industry case studies, and expert tips from someone who's lived through the entire evolution of enterprise AI, this book is your guide to mastering what's next. If you're serious regarding building AI that matters, this is where your journey begins. What You'll Learn Build full-stack ML and GenAI solutions on DatabricksTrain and track models with MLFlow, AutoML, and tuning strategiesSecure and govern data with Unity CatalogApply explainable, ethical AI techniquesDeploy and monitor ML models in real-world pipelinesUse RAG and vector search to power GenAI applicationsGain confidence with hands-on labs and real enterprise use cases Who This Book Is For Azure administrators, data architects, and data engineers Chapter 1: Getting Started with Databricks.- Chapter 2: Introduction to Machine Learning and Data Lakehouses.- Chapter 3: Data Preparation and Management.- Chapter 4: Building Machine Learning Models.- Chapter 5: AutoML and Model Optimization.- Chapter 6: Deploying Machine Learning Models.- Chapter 7: Advanced Topics in Machine Learning.- Chapter 8: Lakehouse AI and Retrieval-Augmented Generation (RAG).- Chapter 9: Conclusion and Next Steps.
Practical PHP APIs with Symfony
Ever wanted to construct a robust and efficient API architecture that revolves around operations? This focused pocket guide takes you through that process step-by-step, providing you with the knowledge to build an operation-oriented API using the PHP programming with the Symfony framework. Practical PHP APIs with Symfony is designed to provide you with a comprehensive understanding of how to create a single API endpoint that embraces the concept of operations. We will utilize the robust features of Symfony to build an environment where operations are the focal point of our API design. This focused guide assumes a certain understanding of the Symfony framework and is not intended as an introductory text to the topic. With this in mind, we will cover essential Symfony topics such as dependency injection features, security authentication and background operations with Symfony Messenger, all with the aim to get you up and running with operation-oriented APIs as quickly and easily as possible. You Will: Learn the principles of constructing an API architecture centered around operationsGain insights into the Symfony features that facilitate the development of operation-oriented APIsLearn how to create a single API endpoint that manages and executes various operationsExplore essential Symfony topics, including dependency injection, security authentication, and the use of Symfony Messenger for background operationsDevelop skills to discover, manage, and execute operations within your APIs, using practical examples for better comprehension This Book is For: Developers and software engineers with prior knowledge andunderstanding of the Symfony framework who wish to deepen their knowledge in building operation-oriented APIs, as well as those who are looking to know more about API design. Chapter 1. Crafting Inputs, Outputs, and Operations.- Chapter 2. Securing Operations.- Chapter 3. Background Execution of API Operations.- Chapter 4. Context-Specific Operations.- Chapter 5. Testing the API.
Delegates, Events, and Lambda Expressions in C#
Among the many features that make C# a powerful and versatile language, delegates, events, and lambda expressions stand out for their innovation and practical impact. This pocketbook will guide you to learn these core elements, offering a beginner-friendly yet thorough exploration through clear explanations, real-world code examples, Q&A sessions, and hands-on exercises. Diving into functional programming using delegates, implementing the observer design pattern with events, or streamlining your code with lambda expressions, this book helps you understand not just how these features work, but why they matter. You’ll learn how they interrelate and how they're used in modern C# development, including their role in LINQ and event-driven programming. Ideal for developers looking to sharpen their skills and gain confidence, this book ensures you walk away with the knowledge to write cleaner, more expressive, and maintainable C# code. What You Will Learn: Gain insights into advanced C# concepts with hands-on examplesWork with .NET 10, which supports C# 14, using Visual Studio Community EditionMaster delegates, events, and lambda expressions in real-world scenariosBuild confidence to tackle technical interviews in C# Who This Book is For: Developers and programmers in C# and .NET Chapter 1: Delegates.- Chapter 2: Events.- Chapter 3: Lambda Expressions.- Chapter 4: Bonus.- Appendix A: What's Next?.- Appendix B: Author's Other Books.
3D-Konstruktionen mit Autodesk Inventor 2026
3D-Modellieren von der Skizze über Bauteile und Baugruppen bis zu Werkzeichnung und AnimationPraxisnahe Erläuterung grundlegender Befehle mit zahlreichen KonstruktionsbeispielenZwei Bonuskapitel mit zusätzlichen Themen sowie alle Beispielprojekte zum Download Praxisnaher Einstieg Dieses Grundlagen- und Lehrbuch zeigt Ihnen anhand vieler einzelner Konstruktionsbeispiele die Möglichkeiten von Inventor 2026 und richtet sich insbesondere an Inventor-Neulinge, die Wert auf einen gründlichen praxisnahen Einstieg legen. Die wichtigsten Vorgehensweisen werden mit vielen einzelnen Beispielen erklärt und können daher leicht für eigene Projekte eingesetzt werden. Inventor von A bis Z Alle wichtigen Befehle werden detailliert vorgestellt: von der Erstellung von 2D-Skizzen mit Bemaßung und Abhängigkeiten über die verschiedenen Arten der Modellierung bis hin zur Erstellung von Baugruppen, Zeichnungsableitung, dem Erstellen von Stücklisten und animierten Präsentationen. Zu jedem Kapitel finden Sie Testfragen mit Lösungen im Anhang, mit denen Sie Ihr Wissen überprüfen und festigen können. Bonuskapitel und Projektdateien zum Download Die vollständigen Projekte der 3D-Beispiele inklusive der Bauteile, Baugruppen und Zeichnungen stehen auf der Webseite des Verlags zum Download bereit und helfen Ihnen, alle Übungsbeispiele leicht nachzuvollziehen. Darüber hinaus erhalten Sie zwei digitale Bonuskapitel zu den Spezialthemen »iLogic-Programmierung« und »Module für Blech, Gestell, Welle, Schweißen, BIM-Import/Export, Verbindung zu Fusion«. Aus dem Inhalt: Installation und BenutzeroberflächeSkizzenerstellung in 2D und 3D mit Linie, Bogen, Kreis, Rechteck, Langloch, PolygonAbhängigkeiten und Bemaßungen in der SkizzeAutoCAD-2D-Import3D-Modellierung mit Grundkörpern wie Quader, Zylinder, Kugel und TorusVolumenkörper mit Extrusion, Rotation (Drehen), Sweeping oder Lofting (Erhebung) erstellenSpezielle Modellierung mit Spirale, Prägen, Ableiten, Rippe und AufklebenVolumenkörper ergänzen: Bohrung, Fase, Rundung, Gewinde, Wandstärke, Flächenverjüngung, Markierungen, Oberflächenbeschaffenheit etc.iFeatures, iMates, iParts, iAssembliesBaugruppen durch Platzieren der Bauteile mit geometrischen Abhängigkeiten oder Verbindungen erstellenModellzustände, Exemplareigenschaften und GeometrievereinfachungZeichnungsableitung mit Ansichten, Bemaßungen und BeschriftungenErstellen von Stücklisten und PositionsnummernAnimierte Präsentationen, fotorealistische Bilder mit verschiedenen Stilen Detlef Ridder hat bereits zahlreiche Bücher zu AutoCAD, Inventor, Revit und Archicad veröffentlicht. Er gibt Schulungen zu diesen Programmen und zu CNC und weiß daher, welche Themen für Einsteiger besonders wichtig sind.
Generative AI Security
Up-to-date reference enabling readers to address the full spectrum of AI security challenges while maintaining model utility Generative AI Security: Defense, Threats, and Vulnerabilities delivers a technical framework for securing generative AI systems, building on established standards while focusing specifically on emerging threats to large language models and other generative AI systems. Moving beyond treating AI security as a dual-use technology, this book provides detailed technical analysis of three critical dimensions: implementing AI-powered security tools, defending against AI-enhanced attacks, and protecting AI systems from compromise through attacks like prompt injection, model poisoning, and data extraction. The book provides concrete technical implementations supported by real-world case studies of actual AI system compromises, examining documented cases like the DeepSeek breaches, Llama vulnerabilities, and Google’s CaMeL security defenses to demonstrate attack methodologies and defense strategies while emphasizing foundational security principles that remain relevant despite technological shifts. Each chapter progresses from theoretical foundations to practical applications. The book also includes an implementation guide and hands-on exercises focusing on specific vulnerabilities in generative AI architectures, security control implementation, and compliance frameworks. Generative AI Security: Defense, Threats, and Vulnerabilities discusses topics including: Machine learning fundamentals, including supervised, unsupervised, and reinforcement learning and feature engineering and selectionIntelligent Security Information and Event Management (SIEM), covering AI-enhanced log analysis, predictive vulnerability assessment, and automated patch generationDeepfakes and synthetic media, covering image and video manipulation, voice cloning, audio deepfakes, and AI’s greater impact on information integritySecurity attacks on generative AI, including jailbreaking, adversarial, backdoor, and data poisoning attacksPrivacy-preserving AI techniques including federated learning and homomorphic encryption Generative AI Security: Defense, Threats, and Vulnerabilities is an essential resource for cybersecurity professionals and architects, engineers, IT professionals, and organization leaders seeking integrated strategies that address the full spectrum of Generative AI security challenges while maintaining model utility. Shaila Rana, PhD, is a professor of Cybersecurity, co-founder of the ACT Research Institute, a cybersecurity, AI, and technology think tank, and serves as the Chair of the IEEE Standards Association initiative on Zero Trust Cybersecurity for Health Technology, Tools, Services, and Devices. Rhonda Chicone, PhD, is a retired professor and the co-founder of the ACT Research Institute. A former CSO, CTO, and Director of Software Development, she brings decades of experience in software product development and cybersecurity.
Das Rechtskonforme und effiziente KI-basierte Zeiterfassungssystem
In diesem Buch werden die Anforderungen an ein KI-gestütztes Zeitwirtschaftssystem am Beispiel einer internationalen Bank in Österreich untersucht. Die zentrale Herausforderung liegt darin, die Effizienzpotenziale durch Künstliche Intelligenz (KI) zu nutzen und gleichzeitig die strengen rechtlichen Rahmenbedingungen des Landes zu erfüllen. Die Relevanz des Themas ergibt sich aus der strategischen Bedeutung der Zeitwirtschaft, dem transformativen Potenzial von KI im Personalwesen und dem komplexen regulatorischen Umfeld in Österreich. Mithilfe eines qualitativen Forschungsansatzes und einer Single-Case-Study wurden semi-strukturierte Experteninterviews mit internen Stakeholdern aus den Bereichen HR, KI, Recht, Datenschutz und IT-Sicherheit geführt und durch eine Analyse interner Dokumente ergänzt. Die Ergebnisse zeigen, dass die strikte Einhaltung der rechtlichen Vorgaben – insbesondere des österreichischen Arbeitsrechts, der DSGVO-Grundsätze und der Mitbestimmungsrechte des Betriebsrats – eine unverhandelbare Grundlage darstellt. Ebenso entscheidend ist die proaktive Ausrichtung am EU AI Act für Hochrisiko-Systeme im HR-Bereich. Einleitung.- Literaturrecherche.- Methodik.- Fallstudienanalyse.- Diskussion.- Schlussfolgerung.- Erklärung über den Einsatz von KI.- Literaturverzeichnis.
Mastering Snowflake DataOps with DataOps.live
This practical, in-depth guide shows you how to build modern, sophisticated data processes using the Snowflake platform and DataOps.live—the only platform that enables seamless DataOps integration with Snowflake. Designed for data engineers, architects, and technical leaders, it bridges the gap between DataOps theory and real-world implementation, helping you take control of your data pipelines to deliver more efficient, automated solutions.. You’ll explore the core principles of DataOps and how they differ from traditional DevOps, while gaining a solid foundation in the tools and technologies that power modern data management—including Git, DBT, and Snowflake. Through hands-on examples and detailed walkthroughs, you’ll learn how to implement your own DataOps strategy within Snowflake and maximize the power of DataOps.live to scale and refine your DataOps processes. Whether you're just starting with DataOps or looking to refine and scale your existing strategies, this book—complete with practical code examples and starter projects—provides the knowledge and tools you need to streamline data operations, integrate DataOps into your Snowflake infrastructure, and stay ahead of the curve in the rapidly evolving world of data management. What You Will Learn Explore the fundamentals of DataOps, its differences from DevOps, and its significance in modern data managementUnderstand Git’s role in DataOps and how to use it effectivelyKnow why DBT is preferred for DataOps and how to apply itSet up and manage DataOps.live within the Snowflake ecosystemApply advanced techniques to scale and evolve your DataOps strategy Who This Book Is For Snowflake practitioners—including data engineers, platform architects, and technical managers—who are ready to implement DataOps principles and streamline complex data workflows using DataOps.live. 1. DataOps.- 2. Pillars of True DataOps.- 3. MLOps.- 4. DataOps Best Practices.- 5. Understanding Snowflake.- 6. Introduction to Git.- 7. Getting Started with Git.- 8. Advanced Git Topics.- 9. Introduction to DBT.- 10. Advanced DBT Techniques and Best Practices.- 11. Introduction to DataOps.live Platform.- 12. DataOps.live & DataOps: Better Together.- 13: Essential Elements of DataOps.live.- 14. Getting Started with DataOps.live.- 15. Managing Your Environments.- 16. Build Your First DataOps Pipeline.- 17. Getting Started with SOLE.- 18. Getting Started with MATE.- 19. Managing Multiple Databases with DataOps.Live.- 20. DataOps.live Orchestrators.- 21. Build Only Changed Models.- 22. DataOps.live REST API.- 23. Medallion Architecture.- 24. Kimball Architecture.- 25. DataVault 2.0 Architecture.- 26. Combining Medallion with DataVault 2.0 and Kimball.- 27. Entity-Relationship (ER) Modeling and Beyond.- 28. Event-Driven Data Models.- 29. Graph Data Modeling.
MC Microsoft Certified Azure AI Fundamentals Study Guide
Your comprehensive guide to preparing for the Azure AI Fundamentals certification exam The MC Microsoft Certified Azure AI Fundamentals Study Guide is your one-stop resource for complete coverage of the challenging AI-900 exam. This Sybex Study Guide covers the entirety of the AI-900 objectives. Prepare for the exam smarter and faster with Sybex thanks to efficient and accurate content, including an assessment test that validates and measures exam readiness, real-world examples and scenarios, and challenging chapter review questions. Reinforce and remember what you’ve learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get prepared for the Azure AI Fundamentals exam with Sybex. Coverage of 100% of all exam objectives in this Study Guide means you’ll be ready for: Artificial Intelligence workloads and considerationsFundamental principles of machine learning on AzureComputer vision workloads on AzureNatural Language Processing (NLP) workloads on AzureGenerative AI workloads on Azure ABOUT THE AZURE AI FUNDAMENTALS CERTIFICATION The Azure AI Fundamentals certification demonstrates your knowledge of machine learning and AI concepts and related Microsoft Azure services. This exam is intended for you if you have both technical and non-technical backgrounds. Data science and software engineering experience are not required. However, you would benefit from having awareness of basic cloud concepts and client-server applications. You can use Azure AI Fundamentals to prepare for other Azure role-based certifications. Interactive learning environment Take your exam prep to the next level with Sybex’s superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/ go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to: Interactive test bank with a practice exam to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you’re ready to take the certification exam.100 electronic flashcards to reinforce learning and last-minute prep before the examComprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared A fast and efficient prep handbook for the Azure AI Fundamentals certification exam In MC Microsoft Certified Azure AI Fundamentals Study Guide: Exam AI-900, experienced software engineer Adora Nwodo walks you through every technical topic you need to understand to succeed on the AI-900 certification exam and build a fundamental understanding of Azure AI features. The Study Guide uses the proven and popular Sybex approach to help you use Azure AI in the real-world, whether you're in a technical or non-technical role. Nwodo offers clear explanations, step-by-step instructions, and visual aids to guide you through essential AI concepts and shows you how to use them in the Azure cloud. You'll learn about: Artificial intelligence concepts and workloadsResponsible AI use in AzureCore concepts in AI models and solutionsIntroduction to machine learning concepts, including data preprocessing, training and validation, algorithms, and moreThe application of machine learning concepts on the Azure cloud platformComputer vision in AzureNatural language processing conceptsGenerative AI conceptsThe Azure OpenAI ServiceExample AI use cases and industry-specific applications The MC Microsoft Certified Azure AI Fundamentals Study Guide highlights best practices for industry newcomers and veterans alike and builds the confidence you need to pass the AI-900 certification exam on your first attempt. Inside the book: Intuitively organized material and additional sample questions that allow you to selectively study the areas in which you need to improveCarefully explained content appropriate for non-technical professionals who interact with AI technologies occasionally or on a daily basisComplimentary access to the superior Sybex online learning environment and test bank, including practice test questions, digital flashcards, and a glossary of key terms Perfect for everyone preparing for the AI-900 certification exam, the Microsoft Certified Azure AI Fundamentals Study Guide is also a must-read for technical and non-technical professionals—especially those working in AI-impacted industries like sales and marketing—who wish to expand their AI skillset and improve their effectiveness at work. ABOUT THE AUTHOR ADORA NWODO is a software engineer, author, and speaker with extensive experience in building and managing large-scale distributed systems. She’s an expert in cloud computing, distributed systems, and DevOps tooling.
Attack Vectors
From early worms to AI powered deepfakes, Attack Vectors chronicles the relentless battle between hackers and defenders. This deep dive into cybersecurity’s evolution unpacks the rise of malware from the Morris Worm to Stuxnet and the cyber syndicates that turned hacking into a billion-dollar underground industry. It explores devastating exploits like CodeRed and HeartBleed, revealing how vulnerabilities become weapons. Meet the visionaries who built the internet’s defenses and the adversaries who found ways to break them. Governments, corporations, and rogue actors all play a role in this ongoing digital war, where data is power, and deception is an art. As cyber-attacks grow more sophisticated, understanding the past is crucial to securing the future. Attack Vectors is essential reading for anyone navigating today’s high-stakes cyber landscape to learn lessons from the past and how solutions today address the most attack vectors predicted in the future. You’ll Learn: Understand the history of cyber-security from the early 1950’s through today.Explore the history of terminology that defines the threat landscape.Examine the history of malware, exploits, breaches, syndicates, and people throughout the last 25 years.Learn how modern cyber-security solutions have been developed to address the evolution of attack vectors.Explore best practices for what to do after a breach and how to manage some of the biggest risks including human beings themselves. Who This Book Is For? New security management professionals, auditors, and information technology staff looking to understand the history of cyber-security. Chapter 1: The History of Attack Vectors.- Chapter 2: Business Justification.- Chapter 3: Definitions.- Chapter 4: Malware.- Chapter 5: Exploits.- Chapter 6: Breaches.- Chapter 7: Regulations.- Chapter 8: People.- Chapter 9: Syndicates.- Chapter 10: Social Engineering.- Chapter 11: Solutions.- Chapter 12: The Human Threat.- Chapter 13: Lateral Movement.- Chapter 14: Return on Investment.- Chapter 15: It’s Not If, But When.- Chapter 16: Supply Chain Attacks.- Chapter 17: Been Hacked?.- Chapter 18: History Lesson.- Chapter 19: Conclusion.
Künstliche Intelligenz in der Marketingabteilung
Das Buch untersucht den aktuellen Einsatz künstlicher Intelligenz in Marketingabteilungen. Basierend auf einem entwickelten Prozessmodell und einer quantitativen Befragung von Fachexpert*innen werden Nutzungshäufigkeit, Anwendungsfelder sowie Chancen und Herausforderungen analysiert. Abschließend werden konkrete Handlungsempfehlungen vorgestellt, um die Nutzung von KI im Marketing gezielt zu fördern. Einleitung.- Theoretische Grundlagen.- Zwischenfazit.- Empirische Untersuchung.- Auswertung der Forschungsergebnisse.- Diskussion.- Fazit.
Cybersecurity Audit Essentials
In a world where cyber threats are more pervasive and sophisticated than ever, this book serves as a trusted companion for professionals charged with protecting critical digital assets. It bridges the gap between theoretical understanding and real-world application, equipping readers with the tools, techniques, and insights to conduct effective cybersecurity audits confidently. The guide takes readers through every stage of the audit process—from planning and scoping to execution, reporting, and follow-up—offering actionable advice at each step. It unpacks the core principles of cybersecurity auditing, such as risk assessment, compliance frameworks, and leveraging advanced tools and technologies. Readers will gain the skills to identify vulnerabilities, evaluate the effectiveness of security measures, and ensure compliance with regulatory requirements. What You Will Learn: Detailed explanations of various audit types, such as: internal, external, compliance, risk-based, and specialized, tailored to meet diverse organizational needs.Step-by-step instructions, checklists, and real-world examples to help readers avoid common pitfalls and adopt proven best practices.Insights into using cutting-edge technologies, including automated audit platforms, SIEM systems, and vulnerability scanners, to enhance audit effectiveness.Clear guidance on navigating key frameworks like GDPR, NIST, ISO 27001, and more, ensuring adherence to industry standards.Tips for prioritizing risk mitigation, crafting impactful audit reports, and fostering continuous improvement in cybersecurity practices. Who This Book Is for: IT auditors, cybersecurity auditors, cybersecurity professionals, and IT specialists who need a practical, hands-on guide to navigate the challenges of cybersecurity auditing in today’s complex digital landscape. Chapter 1: Introduction to Cybersecurity Audits.- Chapter 2: Planning the Cybersecurity Audit.- Chapter 3: Assessing Security Control.- Chapter 4: Compliance and Regulations.- Chapter 5 Introduction to Cyber Risk Management.- Chapter 6 Tools for Network and Cyber Security Audits.- Chapter 7 How to Write an Effective Cybersecurity Audit Report.- Chapter 8 Real-Life Scenarios and Case Studies.
Praxisbuch Large Language Models
Alle Werkzeuge und Techniken für die praktische Arbeit mit LLMsDas Handbuch für das intuitive Verständnis von LLMs: Mit zahlreichen Visualisierungen, die Konzepte schnell zugänglich machenThemen sind die Sprachverarbeitung – Textklassifikation, Suche oder Cluster – und die Sprachgenerierung – vom Prompt Engineering bis zur Retrieval Augmented Generation (RAG)Die Autoren haben mit ihren beliebten Blogs Millionen von Entwickler*innen geholfen, Machine Learning und KI zu verstehenDiese umfassende und anschauliche Einführung in die Welt der LLMs beschreibt sowohl konzeptionelle Grundlagen als auch konkrete Anwendungen und nützliche Tools. Tauchen Sie in das Innenleben von LLMs ein und erkunden Sie ihre Architekturen, Einsatzbereiche, Trainingsmethoden und Feintuning-Techniken. Mit seiner einzigartigen Mischung aus intuitiv verständlichen Illustrationen und praxisbezogenen Erläuterungen ist dieses Buch die ideale Ausgangsbasis für alle, die die Möglichkeiten von KI-Systemen voll ausschöpfen möchten.Sie lernen, vortrainierte Transformer-LLMs von Hugging Face für Anwendungsfälle wie das Verfassen von Texten oder für Inhaltszusammenfassungen einzusetzen. Sie erfahren außerdem, wie Sie Suchsysteme erstellen und vorhandene Bibliotheken und vortrainierte Modelle für Textklassifikation, Suche und Clustering nutzen.Verstehen Sie die Architektur von Transformer-basierten Sprachmodellen, die bei der Textgenerierung und -repräsentation hervorragende Ergebnisse liefernEntwerfen Sie fortgeschrittene LLM-Pipelines, um Textdokumente zu clustern und die darin enthaltenen Themen zu erforschenErstellen Sie semantische Suchmaschinen, die über den Abgleich von Schlagwörtern hinausgehen und auf Methoden wie Dense Retrieval und Reranking basierenLernen Sie, wie Sie generative Modelle optimal einsetzen – vom Prompt Engineering bis hin zur Retrieval Augmented Generation (RAG)Entwickeln Sie ein tieferes Verständnis dafür, wie LLMs trainiert und für spezifische Anwendungen optimiert werden, beispielsweise durch Feintuning generativer Modelle, Contrastive Fine-Tuning und In-Context-LearningJay Alammar ist Direktor und Engineering Fellow bei Cohere, dem Vorreiter bei der Bereitstellung von Large Language Models als API. In dieser Funktion berät und schult er Unternehmen und die Entwicklergemeinschaft bei der Verwendung von Sprachmodellen für praktische Anwendungsfälle. Durch seinen beliebten AI/ML-Blog hat Jay Millionen von Forscherinnen und Softwareengineers geholfen, Tools und Konzepte des Machine Learnings visuell zu verstehen - von den Grundlagen (die in der Dokumentation von Paketen wie NumPy und pandas auftauchen) bis hin zu den neuesten Entwicklungen (Transformers, BERT, GPT-3, Stable Diffusion). Jay ist außerdem Mitgestalter von beliebten Kursen zum Machine Learning und Natural Language Processing auf Deeplearning.ai und Udacity.Maarten Grootendorst ist Senior Clinical Data Scientist bei IKNL (Netherlands Comprehensive Cancer Organization). Er hat Master-Abschlüsse in Organisationspsychologie, klinischer Psychologie und Data Science, die er nutzt, um komplexe Konzepte des Machine Learning einem breiten Publikum zu vermitteln. Mit seinen beliebten Blogs hat er Millionen von Leserinnen und Lesern erreicht. Darin erklärt er die Grundlagen der künstlichen Intelligenz - oft aus psychologischer Sicht. Er ist Autor und Betreuer mehrerer Open-Source-Pakete, die sich auf die Stärke von Large Language Models stützen, wie BERTopic, PolyFuzz und KeyBERT. Seine Pakete werden millionenfach heruntergeladen und von Datenexperten und Organisationen weltweit genutzt.
Learn Model Context Protocol with Python
Learn Model Context Protocol with Python introduces developers, architects, and AI practitioners to the transformative capabilities of Model Context Protocol (MCP), an emerging protocol designed to standardize, distribute, and scale AI-driven applications. Through the lens of a practical project, the book tackles the modern challenges of resource management, client-server interaction, and deployment at scale. Drawing from Christoffer's expertise as a published author and tutor at the University of Oxford, you’ll explore the components of MCP and how they streamline server and client development. Next, you’ll progress from building robust backends and integrating LLMs into intelligent clients to interacting with servers via tools such as Claude for desktop and Visual Studio Code agents. The chapters help you understand how to describe the capabilities of hosts, clients, and servers, facilitating better interoperability, easier integration, and clearer communication between different components. The book also covers security best practices and building for the cloud, ensuring that you're ready to deploy your MCP-based apps. Each chapter enables you to develop hands-on skills for building and operating MCP-based agentic apps. The Python primer at the end rounds out the practical toolkit, making this book essential for any team building AI-native applications today.