eBooks de Informática práctica, página 11 de 141

Wie das Betriebssystem selbst, so unterliegt auch das Zertifizierungsprogramm des Linux Professional Institute permanenter Entwicklung. Mit Einfuhrung der Einsteiger-Prufung "Linux Essentials" im Sommer 2012 bleibt das Zertifikat LPIC-1 seinem Anspruch als professioneller Leistungsnachweis fur Systemadministratoren neben Level LPIC-2 und LPIC-3 weiter gerecht.In der nun bereits 5. Auflage folgt das Buch zur Vorbereitung auf die beiden Prufungen 101 und 102 seinem bewahrten Ansatz: Zu mehr als 120 Fragen, die den originalen Testfragen des LPI sehr ahnlich sind, zeigt Peer Heinlein die Losungsansatze und erlautert die technischen Hintergrunde. Das Buch wendet sich an Administratoren, die ihren Kenntnisstand im Hinblick auf das Examen uberprufen und vervollstandigen mochten. Es setzt auf Erfahrung und Zusammenhange, so dass der Leser eventuelle Wissenslucken unmittelbar erkennt und beispielsweise mit einem kurzen Blick in die Manpages rasch schlieen kann.Selbstverstandlich berucksichtigt diese Neuauflage die im Juli 2012 aktualisierten und fur ca. 3 Jahre gultigen Lernziele (Objectives) des LPI - der ideale Begleiter im Selbststudium wie auch in Kursen.

Data visualization turns complex data into insight, alignment, and actionand it is a core skill for modern data, analytics, and engineering roles. Prompting Python Data Visualization shows you how to design clear, trustworthy visuals in Python, while accelerating the entire workflow by translating natural-language intent into working visualization code with AI. You begin with the foundations of visual thinking and data handling, then build strong technical skills using Matplotlib and Seaborn. The book takes you from basic plots to advanced layouts, styling, annotations, time-series analysis, and publication-ready exports, grounded in real-world analytics and reporting use cases. As you progress, you learn prompt engineering techniques to generate charts with AI, refine and debug AI-produced code, and automate repetitive visualization tasks using reusable prompt templates. By the end of the book, you will produce professional visuals for reports, notebooks, and dashboards with speed, consistency, and confidence.

What Does It Mean to Be Human in the Age of AI? With all the hype and speculation around artificial intelligence, its most profound effects have yet to be revealed. The bigger question is not just what AI is doing to our jobs but to our soulsour relationships with God and one another.In Godlike Power, Russell Haitch cuts through the noise to tell the story of three core developments: the push to humanize machines, drawingus into emotional bonds with AIs; the drive to mechanize people, rooted in Enlightenment reason and the Industrial Revolution; and how God became human, so that humans could become more like Godand how techno-religion proposes a rival path to divinity. These three stories offer contrasting religious visions. Haitch argues we are now confronted with two rival paths to divinity, and we must choose the right one. Godlike Power argues that the third storythe Christian story of real people becoming like Godoffers the timeless and hopeful vision we need, allowing us to journey into the age of AI on a path that leads to life.AI is the latest chapter in humanitys Promethean quest for godlike power. But it is also a story about our perennial quest for intimacy. Even as AI technology rapidly changes, Haitch argues we need wisdomsomething more than superintelligenceto attain the power and love we long for.With Godlike Power, you can wisely examine AI through a theological lens, enabling you to engage thoughtfully and responsibly with how AI is reshaping our understanding of identity, truth, and what it means to be human.

Build Decentralized Applications Today for a Better TomorrowKey Features? Build secure, scalable, and resilient Web3 Cardano Blockchain applications.? Project-based learning connects blockchain concepts to project architecture and source code.? Discover new employment opportunities, business models, and markets.Book DescriptionUnlock the full potential of the Cardano blockchain for building decentralized Web 3.0 apps with Ultimate Cardano Smart Contracts.This book takes you on a journey from the basics of blockchain evolution, cryptography, and Cardanos unique consensus algorithm, to the intricacies of transactions and smart contracts. Youll dive deep into Plutus, Cardanos native smart contract language, and master essential tools like the Transaction Builder and Validators. Learn how to mint your own tokens and utilize the best development tools available.Through a real-world ticketing application project, youll design, implement, test, and deploy a decentralized application, ensuring robust security and scalability. Troubleshoot common issues and explore the vibrant Cardano ecosystem, filled with resources and communities to support your ongoing development journey.By the end of this book, youll have the skills and confidence to create sophisticated smart contracts and contribute to the innovative world of Cardano.What you will learn? Gain a comprehensive understanding of blockchain technology and Cardanos innovative approach.? Develop and deploy a variety of smart contracts on the Cardano blockchain.? Master the creation and interaction with both Fungible Tokens (FTs) and Non-Fungible Tokens (NFTs) for diverse use cases.? Implement advanced testing methodologies to ensure the security and reliability of your smart contracts.? Design and build scalable decentralized applications (dApps) using Cardanos Plutus language.? Explore real-world case studies and best practices for successful smart contract development.? Engage with the vibrant Cardano community and contribute confidently to the ecosystem.Table of Contents1. Blockchain Evolution2. Cryptography and Consensus Algorithms Overview3. Transactions4. Plutus5. Transaction Builder6. Validators7. Minting8. Tooling9. Ticket Application Design10. Ticket Application Implementation11. Testing, Security, and Scaling12. Troubleshooting13. Cardano Ecosystem14. Closing Remarks Bibliography IndexAbout the AuthorsLawrence Ley has a Computer Science degree from the University of Toronto and over 20 years of IT industry experience. He is passionate about learning new technologies and how they can make a positive impact. His Cardano journey started in 2021 with the Plutus Pioneers program, and he has worked on several open-source Cardano impact projects. Lawrence is a professor in the Blockchain Development Program at George Brown College in Toronto and runs the Cardano Blockchain Toronto monthly meetup with over 500 members.His professional experience includes IT consulting in the telecommunications, banking, and retail industries. He has a proven track record of building and managing complex, integrated, highly scalable consumer and retail applications. His first experiences with cryptocurrencies involved mining Bitcoin and ...

Larchitettura degli impianti informatici si riferisce alla progettazione e alla disposizione fisica dei componenti di un sistema informatico, inclusi hardware, software, reti e infrastrutture connesse. Questo include sia gli aspetti fisici che quelli logici del sistema. Ecco alcuni elementi chiave: Hardware: Questo include server, computer, dispositivi di rete, dispositivi di archiviazione e altro hardware necessario per supportare le operazioni informatiche. Software: Questo include sistemi operativi, applicazioni, database e altri programmi utilizzati per gestire e utilizzare i dati e le risorse informatiche. Rete: La rete comprende linfrastruttura di comunicazione che collega tutti i dispositivi e consente loro di scambiare dati e comunicare tra loro. Questo puo includere cavi, switch, router, firewall e altri dispositivi di rete. Sicurezza: Questo riguarda le misure adottate per proteggere il sistema informatico da accessi non autorizzati, malware, attacchi informatici e altre minacce alla sicurezza dei dati. Alimentazione e raffreddamento: È importante considerare anche lalimentazione e il raffreddamento degli impianti informatici per garantire che i dispositivi funzionino correttamente e non si surriscaldino. Layout fisico: Questo riguarda la disposizione fisica dei componenti del sistema, inclusi server, cablaggio, rack e altri dispositivi, al fine di ottimizzare lefficienza e la gestione. Gestione e monitoraggio: È importante avere sistemi e strumenti per gestire e monitorare lintero impianto informatico al fine di garantire prestazioni ottimali, identificare e risolvere problemi e pianificare eventuali aggiornamenti o modifiche. Scalabilita e flessibilita: Larchitettura degli impianti informatici dovrebbe essere progettata in modo da consentire la scalabilita e la flessibilita per adattarsi alle esigenze in evoluzione dellazienda o dellorganizzazione.

AI Stylespedia with Midjourney: The Ultimate Visual Directory for Creativity "AI Stylespedia with Midjourney" is a visually stunning image directory designed to unlock the full potential of your creative mind by showcasing over 460 unique different styles and more than 1,000 high-quality color images printed on premium, thick paper. "AI Stylespedia with Midjourney" is the essential tool for unlocking your creative potential through the power of AI-driven image generation. Whether youre a beginner or an experienced AI art enthusiast, this book provides the inspiration to help you transform ideas into vivid and real images. Each image is accompanied by a easy-to-follow prompt, to create visuals across various categories, such as illustration, photography, lighting effects, artistic techniques, patterns, and more. The book goes beyond simple prompting, encouraging deeper experimentation and exploration of AI-generated images. In addition to the visual directory and prompts, AI Stylespedia with Midjourney offers practical tips and tutorials to perform creative techniques such as image blending and editing. These sections help readers achieve a closer match to their creative vision, demonstrating how to refine outputs with precision rather than relying entirely on the AI model. This makes the book an excellent companion for those who want more control over their artwork, allowing you to go beyond default prompts and customize your designs in exciting new ways. The books techniques are easily transferable to other AI image generators, making it an invaluable resource for anyone interested in digital art or AI creativity. Whether youre a beginner looking to learn the ropes or an expert seeking fresh inspiration, this book caters to all skill levels. If youre looking for the perfect resource to expand your AI artistry and turn inspiration into reality, AI Stylespedia with Midjourney is the guidebook you need to make your creative dreams a reality.

Zu Risiken und Nebenwirkungen fragen Sie Ihre KIKunstliche Intelligenz durchdringt alle Bereiche des Lebens - auch das Gesundheitswesen. Walter Swoboda zeigt in seinem Buch, wie die KI funktioniert, welche Varianten dieser neuen Technologie in Gesundheit und Pflege zum Einsatz kommen konnen und welche Einsatzgebiete sich kurz- und langfristig ergeben. Auf Chancen, Risiken und ethische Herausforderungen geht er ein. Auch experimentelle Verfahren der Zukunft berucksichtigt er.Das Buch richtet sich an Praktizierende, Forschende und Studierende in den Bereichen Gesundheitswesen, Gesundheitsmanagement, Gesundheitsinformatik, Medizin, Pflegewissenschaften sowie Medizinethik.

Unlock the Power of Cilium and eBPF to Revolutionize Cloud-Native Security and NetworkingKey Features? Master eBPF concepts and their real-world applications in cloud computing? Explore Ciliums capabilities with hands-on examples and Kubernetes integration? Implement Zero Trust Security models with eBPF for microservices? Optimize network performance and observability using eBPF and HubbleBook DescriptionCilium and eBPF are revolutionizing cloud-native development by providing unparalleled observability, security, and performance enhancements. Ultimate Cilium and eBPF for Cloud Native Development bridges the knowledge gap, empowering developers, DevOps engineers, and IT professionals to leverage these technologies for building robust, scalable cloud-native applications.This book explores eBPF and Cilium in depth, starting with core concepts and fundamental principles to establish a solid foundation. Subsequent chapters cover practical applications, including tutorials on implementing Cilium in Kubernetes, optimizing network performance, and enhancing security with eBPF. Key takeaways include mastering eBPF programming, deploying Cilium for networking, monitoring applications, and leveraging eBPF for advanced security. Real-world case studies and hands-on examples provide practical insights and reinforce learning.By the end of this book, you will be equipped to implement and manage eBPF and Cilium in cloud-native projects. You will gain the skills to optimize performance, ensure robust security, and achieve superior observability, positioning yourself at the forefront of cloud-native development.What you will learn? Develop a strong grasp of eBPF and Ciliums core concepts and applications.? Optimize eBPF and Cilium for Kubernetes observability, security, and performance.? Gain hands-on experience through real-world cloud-native development tutorials.? Master troubleshooting tools for network performance and policy enforcement.? Utilize eBPF-driven observability to secure and scale microservices.? Apply advanced technologies to modernize workflows and cloud environments.Table of Contents1. Introduction to Cloud Native Networking2. Fundamentals of eBPF3. Getting Started with Cilium4. Advanced Cilium Features5. eBPF Programming for Cloud-Native Environments6. Cilium Internals7. Security with Cilium and eBPF8. Observability and Monitoring9. Load Balancing and Service Discovery10. Performance Optimization11. Troubleshooting and Debugging12. Extended Use Cases13. Future of Cloud Native Networking with eBPF IndexAbout the AuthorsGaurav Shekhar is a seasoned technology leader and Distinguished Engineer with over 20 years of experience in the financial technology industry. Currently, he serves as Vice President - Director of Platform Engineering at one of the largest financial institutions in the United States. In this role, he leads the transformation of the organizations platform to a cloud-native architecture, leveraging public cloud infrastructure to improve scalability, security, and performance. Gaurav oversees critical initiatives, including infrastructure design, architecture modernization, and the implementation of CI/CD pipelines, enabling the seamless migration of APIs and user interfaces to th...

Pass the AWS Solutions Architect Pro Exam with Confidence.Key Features? Dive deep into all critical areas of the exam, including advanced architecture, cost optimization, high availability, and security.? Engage with interactive exercises that simulate real-world cloud challenges.? Learn from experienced professionals who share insider tips, proven strategies, and common pitfalls to avoid.Book DescriptionThe AWS Certified Solutions Architect Professional certification is a vital credential for IT professionals seeking to advance their careers in cloud architecture. Mastering the complexities of AWS requires a deep understanding of its architecture and services. The Ultimate AWS Certified Solutions Architect Professional Exam Guide is your comprehensive resource to conquering the AWS Certified Solutions Architect Professional exam. It is designed to equip you with the knowledge and practical skills necessary to design and deploy scalable, high-performing, and cost-effective cloud solutions.Delve into core AWS services, advanced architecture patterns, and best practices. Explore topics such as VPC design, security, high availability, cost optimization, and more. Each chapter offers in-depth explanations, real-world examples, and exercises to solidify your understanding. By the end of this book, you will be confident in architecting robust cloud solutions, troubleshooting complex issues, and successfully passing the AWS Certified Solutions Architect Professional exam.With a solid grasp of AWS architecture and a proven exam preparation strategy, you will be well-prepared to excel as a cloud architect and drive innovation within your organization.What you will learn? Design scalable, secure, and cost-effective cloud architectures on AWS.? Master VPC design, security, and implement high-availability best practices.? Optimize AWS services for peak performance, reliability, and cost efficiency.? Troubleshoot complex cloud infrastructure issues with precision and confidence.? Prepare effectively for the AWS Solution Architect Professional certification exam.? Gain practical experience through real-world scenarios and hands-on exercises.Table of Contents1. Introduction to AWS Solution Architect Professional Exam2. Advanced Architecting on AWS3. Security Practices in AWS4. High Availability and Disaster Recovery5. Performance Optimization and Scalability6. Cost Optimization7. Migration and Modernization8. DevOps and Continuous Delivery9. Advanced Networking and Content Delivery10. Big Data and Analytics11. Serverless Computing and Microservices12. Emerging Technologies and Trends13. Preparing for Exam IndexAbout the AuthorsGaurav H Kankaria is a passionate technologist with nearly a decade of experience in Data & Analytics and AI/ML (including GenAI). He specializes in driving business growth for retail and financial clients, leveraging his expertise in architecting data-intensive solutions and utilizing AI/ML technologies to solve complex challenges.Karan Vichare is a Lead Data Architect at Ganit Business Solutions Private Limited, with over six years of experience spanning data engineering, data analytics, web application development, and cloud migration. His expertise encompasses the...

Expand your imagination. Redefine creativity. Master the future of AI-driven art.Key Features? Master Midjourney to craft stunning AI-driven visuals and compositions.? Unlock advanced prompts for storytelling, branding, and creative innovation.? Use Midjourney across marketing, design, education, and personal projects.Book DescriptionMidjourney is revolutionizing creativity, empowering professionals to produce visually stunning, AI-driven designs with unmatched precision and impact. This book is your ultimate guide to mastering Midjourney, whether youre new to AI tools or an experienced creator ready to elevate your work to new heights.Start with the fundamentals of crafting effective prompts and navigating Midjourneys features. Through 700+ striking visuals and 55+ hands-on projects, youll learn to refine your artistic style, design captivating compositions, and tell compelling stories using AI. Discover how to seamlessly blend creativity with technology to turn your concepts into breathtaking realities.Dive deeper into advanced techniques to apply Midjourney across branding, marketing, education, and personal projects. By the final chapter, youll possess the skills and vision to innovate and lead in your field. Whether youre aiming to enhance your career, inspire your audience, or achieve creative breakthroughs, this book is your key to unlocking limitless possibilities. Dont just imaginecreate. Start your journey to become a Creative Pro today!What you will learn? Master the art of crafting effective prompts for stunning AI-driven artistic creations.? Design storytelling, emotional narratives, and layered visual compositions.? Balance logic and creativity for impactful, meaningful AI-generated works.? Apply AI tools in branding, education, and creative projects.? Master advanced techniques to refine your unique artistic style.? Create characters, marketing campaigns, and captivating social media visuals.Table of Contents1. Introduction to Midjourney2. Basic Techniques in Midjourney3. Advanced Strategies for Midjourney4. Visual Storytelling and Concept Development5. Midjourney in Branding and Marketing Visuals6. Educational and Explanatory Content7. Publication and Editorial Design8. Advanced Artistic Techniques and Style Mastery9. Integrating Midjourney in Advanced Creative Workflows10. The Future of AI in Creative Industries APPENDIX A Beyond the Said IndexAbout the AuthorsPawan Nayar a trailblazer in AI-driven creativity and innovation, brings over 27 years of expertise in content strategy, community building, and transformative AI applications.As the Founder and Chief Thought Officer of Cretorial Media Services, Pawan has led groundbreaking projects across EdTech, digital marketing, visual storytelling, and creative design. His work empowers individuals and organizations to harness tools such as Midjourney and ChatGPT to unlock their creative potential and drive innovation.Previously, Pawan held leadership roles at Adobe, including Director of Content and Community, earning prestigious accolades such as the Adobe Founders Award. His expertise spans advanced prompt engineering, digital creativity, and leveraging AI for branding and education.Recognized as one of Indias top infl...

Transform IaC with AWS CDK to Simplify, Secure, and Scale Your Cloud.Key Features? Build scalable cloud infrastructures with AWS CDK, from basics to mastery.? Simplify and optimize infrastructure as code with AWS CDK tools.? Learn AWS CDK hands-on with tutorials, examples, and proven practices.Book DescriptionThe AWS Cloud Development Kit (CDK) transforms infrastructure automation, empowering developers to simplify, optimize, and scale cloud operations. As cloud infrastructure plays a vital role in modern applications, mastering AWS CDK is a critical skill for developers and DevOps professionals. "Ultimate AWS CDK for Infrastructure Automation" equips you with practical skills to harness its full potential.This book introduces Infrastructure as Code (IaC) principles and AWS CDK fundamentals, guiding you through core concepts like stacks, constructs, environments, and resources. Youll learn to build multi-stack projects, configure CI/CD pipelines, and apply best practices for modular and reusable code.Each chapter delivers practical insights and expert tips, from setup to advanced topics like custom resources and performance tuning. Key takeaways include mastering CDK constructs, managing cross-stack resources, creating CI/CD pipelines, and refining testing and troubleshooting skills.By the end of this book, youll have the expertise to design, deploy, and manage scalable, automated cloud infrastructures. Whether youre new to AWS CDK or looking to refine your skills, this book provides a roadmap to mastering infrastructure automation and driving cloud innovation.What you will learn? Design secure, scalable cloud architectures using AWS CDK.? Implement Infrastructure as Code (IaC) with TypeScript for AWS.? Build, deploy, and manage multi-stack cloud projects efficiently.? Integrate CI/CD pipelines for automated cloud infrastructure provisioning.? Optimize cloud deployments for cost, performance, and security.? Debug, test, and enhance CDK apps using industry best practices.Table of Contents1. Introduction to AWS CDK and DevOps Automation2. Getting Started with AWS CDK3. Key Concepts of CDK4. Building a Multi-Stack CDK Project5. Orchestrating CDK Pipelines6. Securing Your CDK Applications7. Testing and Debugging CDK Applications8. Advanced Constructs and Design Patterns9. Best Practices and Expert Techniques10. Real-World Case Studies and Examples IndexAbout the AuthorsAnish Kumar is a seasoned DevOps and Cloud Engineering expert with over six years of professional experience. He specializes in AWS cloud services and modern DevOps practices. With 13 AWS certifications spanning associate, professional, and specialty levels, along with Kubernetes certifications (CKA, CKAD, CKS), he has a profound understanding of infrastructure automation, container orchestration, and security.Anish holds a degree in Information Technology, graduating with distinction from the University of Pune, India. His career journey has seen him excel in roles such as Senior DevOps Engineer, Cloud Engineer, and Cloud Architect at renowned organizations such as Dare International, Ohme, and Amazon Web Services. Across these roles, he has successfully led more than ten large-scale projects, ranging from cloud migrations and inf...

Unlock the Power of PyTorch 2.0 for Next-Level Natural Language Processing.Key Features? Comprehensive coverage of NLP concepts, techniques, and best practices.? Hands-on examples with code implementations using PyTorch 2.0.? Focus on real-world applications and optimizing NLP models.? Learn to develop advanced NLP solutions with dynamic GPU acceleration.Book DescriptionNatural Language Processing (NLP) is revolutionizing industries, from chatbots to data insights. PyTorch 2.0 offers the tools to build powerful NLP models. Applied Natural Language Processing with PyTorch 2.0 provides a practical guide to mastering NLP with this advanced framework.This book starts with a strong foundation in NLP concepts and the essentials of PyTorch 2.0, ensuring that you are well-equipped to tackle advanced topics. It covers key techniques such as transformer models, pre-trained language models, sequence-to-sequence models, and more. Each chapter includes hands-on examples and code implementations for real-world application.With a focus on practical use cases, the book explores NLP tasks like sentiment analysis, text classification, named entity recognition, machine translation, and text generation. Youll learn how to preprocess text, design neural architectures, train models, and evaluate results. Whether youre a beginner or an experienced professional, this book will empower you to develop advanced NLP models and solutions. Get started today and unlock the potential of NLP with PyTorch 2.0!What you will learn? Master cutting-edge NLP techniques and integrate PyTorch 2.0 effectively.? Implement NLP concepts with clear, hands-on examples using PyTorch 2.0.? Tackle a wide range of NLP tasks, suitable for all experience levels.? Explore tasks like sentiment analysis, text classification, and translation.? Leverage advanced deep learning techniques for powerful NLP solutions.? Preprocess text, design models, train, and evaluate their performance.Table of Contents1. Introduction to Natural Language Processing2. Getting Started with PyTorch3. Text Preprocessing4. Building NLP Models with PyTorch5. Advanced NLP Techniques with PyTorch6. Model Training and Evaluation7. Improving NLP Models with PyTorch8. Deployment and Productionization9. Case Studies and Practical Examples10. Future Trends in Natural Language Processing and PyTorch IndexAbout the AuthorsDr. Deepti Chopra is an accomplished academician at the School of Engineering & Technology, Vivekananda Institute of Professional Studies, India, specializing in Information Technology with a primary focus on Natural Language Processing (NLP) and Artificial Intelligence (AI). With over 11 years of experience in academia, she has made significant contributions to both research and teaching. Dr. Chopras expertise includes Machine Translation, Named Entity Recognition, Morphological Analysis, and Machine Transliteration.Deepti began her academic journey by obtaining a Bachelors degree in Computer Science and Engineering from Rajasthan College of Engineering for Women. Throughout her undergraduate studies, she consistently excelled and secured top positions in her college. Driven by her passion for language and technology, she pursued a Masters degree in Computer Scie...

Unleashing the Power of Computer Vision with PyTorch 2.0.Key Features? Covers core to advanced Computer Vision topics with PyTorch 2.0s latest features and best practices.? Progressive learning path to ensure suitability for beginners and experts alike.? Tackles practical tasks like optimization, transfer learning, and edge deployment.Book DescriptionIn an era where Computer Vision has rapidly transformed industries like healthcare and autonomous systems, PyTorch 2.0 has become the leading framework for high-performance AI solutions. [Mastering Computer Vision with PyTorch 2.0] bridges the gap between theory and application, guiding readers through PyTorch essentials while equipping them to solve real-world challenges.Starting with PyTorchs evolution and unique features, the book introduces foundational concepts like tensors, computational graphs, and neural networks. It progresses to advanced topics such as Convolutional Neural Networks (CNNs), transfer learning, and data augmentation. Hands-on chapters focus on building models, optimizing performance, and visualizing architectures. Specialized areas include efficient training with PyTorch Lightning, deploying models on edge devices, and making models production-ready.Explore cutting-edge applications, from object detection models like YOLO and Faster R-CNN to image classification architectures like ResNet and Inception. By the end, readers will be confident in implementing scalable AI solutions, staying ahead in this rapidly evolving field. Whether youre a student, AI enthusiast, or professional, this book empowers you to harness the power of PyTorch 2.0 for Computer Vision.What you will learn? Build and train neural networks using PyTorch 2.0.? Implement advanced image classification and object detection models.? Optimize models through augmentation, transfer learning, and fine-tuning.? Deploy scalable AI solutions in production and on edge devices.? Master PyTorch Lightning for efficient training workflows.? Apply real-world techniques for preprocessing, quantization, and deployment.Table of Contents1. Diving into PyTorch 2.02. PyTorch Basics3. Transitioning from PyTorch 1.x to PyTorch 2.04. Venturing into Artificial Neural Networks5. Diving Deep into Convolutional Neural Networks (CNNs)6. Data Augmentation and Preprocessing for Vision Tasks7. Exploring Transfer Learning with PyTorch8. Advanced Image Classification Models9. Object Detection Models10. Tips and Tricks to Improve Model Performance11. Efficient Training with PyTorch Lightning12. Model Deployment and Production-Ready Considerations IndexAbout the AuthorsM. Arshad Siddiqui is a distinguished computer vision expert with extensive experience in developing and deploying cutting-edge AI solutions. His career began as a Computer Vision Engineer at Lensbricks, where he developed innovative vision systems for emerging technologies. He then advanced to Big Vision, refining his expertise in tackling large-scale challenges in computer vision and artificial intelligence.Currently a Principal Engineer in Computer Vision and AI, Arshad has collaborated with over 20 organizations, ranging from dynamic startups to Fortune 500 companies, helping them design and implement robust AI solutions. O...

Learn modern Angular development and jumpstart your web development journeyKey Features? Learn Angular from scratch, starting with setup and basic application structure to advanced topics like component communication and unit testing.? Practical examples and step-by-step instructions to build multi-page reactive and real-world applications.? Learn best practices for unit testing Angular components to ensure quality and maintainability.Book DescriptionAngular is one of the most popular and powerful frameworks for building dynamic, scalable web applications. With its robust ecosystem, its widely used to create high-performance, enterprise-level applications.This book offers a hands-on approach to mastering Angular, guiding you from setting up your development environment to exploring advanced topics like unit testing. Youll start by learning how to set up Angular and create your first application, followed by gaining a solid understanding of TypeScript, enhancing your ability to work with Angulars strongly typed features.The book covers core building blocks like components, directives, pipes, and services, providing a strong foundation for robust applications. Youll also explore Angulars reactivity system and how to handle asynchronous data to build dynamic UIs. It dives into component communication, data flow, and both Reactive and Template-Driven forms, helping you implement form validation and handle user input effectively.Additionally, youll master Angulars routing system, use Jest for unit testing, and explore new features like control flow syntax, Standalone components, and Signals. By the end, youll be confident in building and managing Angular applications.What you will learn? Set up your development environment and create your first Angular app.? Master TypeScript fundamentals and its role in enhancing Angular development.? Learn Angulars core components, directives, pipes, and services.? Explore Angulars reactive programming model for handling asynchronous data and building dynamic UIs.? Pass data between components using input/output properties, event emitters, and services.? Understand Angulars routing system for seamless navigation in single-page applications.Table of Contents1. Setting up Angular2. Angular Application3. Introduction to Typescript4. Components, Directives, Pipes, and Services5. Getting Started with Reactivity6. Component Communication and Data Flow7. Reactive and Template-driven Forms8. Form Validation9. Routing10. Unit Testing IndexAbout the AuthorsDuncan has been a software developer for over twenty years and has developed applications across various industries, from Hedge Fund and Investment Management to Satellite Communication Management. He was introduced to AngularJS by a colleague around version 1.3 and shifted from full-stack developer to front-end development using Angular. Duncan was an early adopter of Angular (formerly, Angular 2) and has spent more than eight years learning Angular. He has authored several short books and numerous articles on Angular and Angular Material (called Shooks).Pierre has been working with Angular as a Full Stack Software Engineer for six years in various domains. Since then, he has written several arti...

Build Your Dream iOS Apps: A Project-Based Learning ApproachKey Features? Gain a thorough understanding of core iOS development concepts and techniques, with a focus on practical application.? Build five end-to-end iOS applications, including a to-do list app, a weather app, a fitness tracker with HealthKit, and an image recognition app with Core ML, to apply your skills in real-world scenarios.? Understand the complete process of testing, debugging, and deploying your apps to the App Store, preparing you for real-world deployment.Book DescriptionUltimate iOS App Development Guide is your gateway to the dynamic world of iOS App development and guides you through the core concepts and techniques essential for iOS app creation. Each chapter delves into crucial components of iOS development, with clear explanations and practical examples to apply your knowledge in real-world scenarios.Structured into 10 chapters, the book begins with fundamental concepts, providing a solid foundation for beginners. Each subsequent chapter builds on this foundation with practical projects, blending theoretical iOS and Swift concepts with hands-on implementation. These carefully selected projects are designed to develop your application development skills, whether youre a novice or looking to deepen your expertise. This book serves as a robust resource, supporting your growth as an iOS developer.Youll create exciting projects that range from a simple to-do list app to advanced projects like HealthKit and Core ML integration, helping you grasp specific concepts thoroughly. The book also covers the app distribution process to the App Store, making it a comprehensive resource for both budding developers and seasoned professionals looking to broaden their expertise.What you will learn? Gain an overview of the iOS development ecosystem, including tools, frameworks, and key concepts.? Learn the process of setting up your development environment and creating your first iOS app.? Master the fundamental syntax and features of Swift programming language.? Develop a fully functional to-do list app, learning core iOS development practices and UI design principles.? Understand how to work with APIs by building a weather app that fetches real-time data.? Explore how to integrate popular social media platforms into your app, allowing users to share content seamlessly.? Build a fitness tracking app using HealthKit, learning to work with health data and sensors.Table of Contents1. Introduction to iOS Development2. Getting Started with iOS App Development3. Swift Programming Language Basics4. Building a To-Do List App5. Developing a Weather App6. Integrating Social Media7. Creating Fitness Tracking App Using HealthKit8. Building an Image Recognition App Using Core ML and VisionKit9. Testing, Debugging, and Deployment10. Advance Concepts IndexAbout the AuthorsSurabhi Chopada is an experienced iOS Developer originally from Ahmednagar, Maharashtra, India. She pursued an Engineering degree in Information Technology from PVG Pune. After gaining valuable experience in India, she relocated to Copenhagen, Denmark, to continue her professional journey. Her path to becoming an iOS Developer is truly inspiring. Her interest in iOS was sparked by her fascination with ...

Elevate Your Data Analytics Skills, Optimize Workflows, and Drive Informed Decision-Making Across the Spectrum of Data Professions!Key Features? Solve practical problems using SAS with real-world case studies that provide hands-on experience.? Clear, step-by-step tutorials that guide you through various SAS procedures, ensuring easy understanding and application.? Explore an extensive range of SAS capabilities, from basic data management to advanced analytics and reporting techniques.Book DescriptionThe "Ultimate Statistical Analysis System (SAS) for Data Analytics" is your go-to resource for mastering SAS, a powerful software suite for statistical analysis. This comprehensive book covers everything from the basics of SAS for data professionals to advanced topics like clustering analysis and association rules. With practical examples and clear explanations, this book equips readers with the knowledge and skills needed to excel in their roles as data scientists, analysts, researchers, and more.Whether youre a beginner looking to build a solid foundation in SAS or an experienced user seeking to expand your proficiency, this handbook has something for everyone. Youll learn essential techniques for importing, cleaning, and visualizing data, as well as conducting hypothesis testing, regression analysis, and inferential statistics. Advanced topics like SAS programming concepts and generating reports are also covered in detail, providing readers with the tools to tackle complex data challenges with confidence.With its accessible writing style and emphasis on real-world applications, this book is a practical guide that empowers readers to unlock the full potential of their data. Whether youre analyzing customer behavior, optimizing business processes, or conducting academic research, this handbook will be your trusted companion on the journey to mastering SAS and making informed decisions based on data-driven insights.What you will learn? Master the skills to import, clean, and transform data using SASs powerful data manipulation tools.? Gain the ability to conduct hypothesis testing to build regression models to analyze data relationships.? Learn to design and produce compelling data visualizations that effectively communicate your data findings.? Develop proficiency in advanced SAS programming techniques to tackle intricate analytical tasks.Table of Contents1. Introduction to SAS for Data Professionals2. Data Import and Export in SAS3. Data Cleaning and Transformation4. Data Visualizations with SAS5. Hypothesis Testing and Regression Analysis6. Descriptive and Inferential Statistics7. Advanced SAS Programming Concepts8. Clustering Analysis with PROC CLUSTER9. Association Rules in SAS10. Generating Reports in SAS IndexAbout the AuthorsVishesh Dhingra holds an MBA in Marketing from Bharati Vidyapeeth and a Bachelors in Computer Science and Engineering from Guru Gobind Singh Indraprastha University. He completed the Executive Course on Advanced Analytics at IIM Calcutta, enhancing his expertise in the field. With a career spanning renowned organizations such as EXL Service, Genpact, and Wipro Limited, Vishesh has honed his skills in diverse domains including banking, healthcare, and insurance.With over 7 years of experienc...

Empower Your .NET Journey with Machine LearningKey Features? Step-by-step guidance to help you navigate through various machine learning tasks and techniques with ML.NET.? Explore all aspects of ML.NET, from installation and configuration to model deployment.? Engage in practical exercises and real-world projects to solidify your understanding.Book DescriptionDive into the world of machine learning for data-driven insights and seamless integration in .NET applications with the Ultimate Machine Learning with ML.NET.The book begins with foundations of ML.NET and seamlessly transitions into practical guidance on installing and configuring it using essential tools like Model Builder and the command-line interface. Next, it dives into the heart of machine learning tasks using ML.NET, exploring classification, regression, and clustering with its versatile functionalities.It will delve deep into the process of selecting and fine-tuning algorithms to achieve optimal performance and accuracy. You will gain valuable insights into inspecting and interpreting ML.NET models, ensuring they meet your expectations and deliver reliable results. It will teach you efficient methods for saving, loading, and sharing your models across projects, facilitating seamless collaboration and reuse.The final section of the book covers advanced techniques for optimizing model accuracy and refining performance. You will be able to deploy your ML.NET models using Azure Functions and Web API, empowering you to integrate machine learning solutions seamlessly into real-world applications.What you will learn? Understand the basics of ML.NET and its capabilities in the machine learning landscape.? Gain practical experience with the ML.NET Model Builder and command-line interface (CLI) to efficiently create models.? Understand how to choose the most suitable algorithms and fine-tune them for optimal performance within ML.NET.Table of Contents1. Introduction to ML.NET2. Installing and Configuring ML.NET3. ML.NET Model Builder and CLI4. Collecting and Preparing Data for ML.NET5. Machine Learning Tasks in ML.NET6. Choosing and Tuning Machine Learning Algorithms in ML.NET7. Inspecting and Interpreting ML.NET Models8. Saving and Loading Models in ML.Net9. Optimizing ML.NET Models for Accuracy10. Deploying ML.NET Models with Azure Functions and Web API IndexAbout the AuthorsKalicharan Mahasivabhattu is a seasoned industry expert with over 21 years of experience working with leading global organizations primarily in oil and gas and healthcare. As a Certified Artificial Intelligence and Machine Learning Specialist, he has earned the moniker Serial Innovator for his ground-breaking ideas in deep learning, augmented reality, chatbots, and computer vision, all of which have garnered support from the innovation council. Kalis dedication to advancing the field extends to his engaging podcast, Talking AWS for Data Science, where he shares insights and discusses cutting-edge developments.Deepti Bandi is an experienced professional with over 17 years of exposure in the field of leveraging advanced analytics to drive business growth and decision- making. With a dual masters degree in Computational Mechanics and Structural Engineering, she possesses a uniq...

Empower Your Data Science Journey: From Exploration to Certification in Azure Machine LearningKey Features? Offers deep dives into key areas such as data preparation, model training, and deployment, ensuring you master each concept.? Covers all exam objectives in detail, ensuring a thorough understanding of each topic required for the DP-100 certification.? Includes hands-on labs and practical examples to help you apply theoretical knowledge to real-world scenarios, enhancing your learning experience.Book DescriptionUltimate Azure Data Scientist Associate (DP-100) Certification Guide is your essential resource for achieving the Microsoft Azure Data Scientist Associate certification. This guide covers all exam objectives, helping you design and prepare machine learning solutions, explore data, train models, and manage deployment and retraining processes.The book starts with the basics and advances through hands-on exercises and real-world projects, to help you gain practical experience with Azures tools and services. The book features certification-oriented Q&A challenges that mirror the actual exam, with detailed explanations to help you thoroughly grasp each topic. Perfect for aspiring data scientists, IT professionals, and analysts, this comprehensive guide equips you with the expertise to excel in the DP-100 exam and advance your data science career.What you will learn? Design and prepare effective machine learning solutions in Microsoft Azure.? Learn to develop complete machine learning training pipelines, with or without code.? Explore data, train models, and validate ML pipelines efficiently.? Deploy, manage, and optimize machine learning models in Azure.? Utilize Azures suite of data science tools and services, including Prompt Flow, Model Catalog, and AI Studio.? Apply real-world data science techniques to business problems.? Confidently tackle DP-100 certification exam questions and scenarios.Table of Contents1. Introduction to Data Science and Azure2. Setting Up Your Azure Environment3. Data Ingestion and Storage in Azure4. Data Transformation and Cleaning5. Introduction to Machine Learning6. Azure Machine Learning Studio7. Model Deployment and Monitoring8. Embracing AI Revolution Azure9. Responsible AI and Ethics10. Big Data Analytics with Azure11. Real-World Applications and Case Studies12. Conclusion and Next Steps IndexAbout the AuthorsRajib Kumar De is a seasoned Data Scientist with a Masters in Statistics and over a decade of industry experience. He excels in Analytics, Predictive Modeling, Machine Learning, Cloud Computing (Microsoft Azure), AI, Deep Learning, and NLP. With a strong research mindset, he tackles complex problems using supervised and unsupervised learning methods.Technical Expertise and Team Collaboration: Programming Languages: R, Python, Cloud Platforms: Microsoft Azure, Azure Databricks, Microsoft Fabric, Data Science Tools: Azure ML, MLFlow, Fabric Data ScienceRajib collaborates with a team of experts to tackle complex projects and ensure client satisfaction. Outside of work, he enjoys stock market analysis and travel. His blend of technical skills, certifications, and client-focused approach makes him an ideal partner for data science and mac...

Unlock the power of Data Manipulation with Pandas.Key Features? Master Pandas from basics to advanced and its data manipulation techniques.? Visualize data effectively with Matplotlib and explore data efficiently.? Learn through hands-on examples and practical real-world use cases.Book DescriptionUnlock the power of Pandas, the essential Python library for data analysis and manipulation. This comprehensive guide takes you from the basics to advanced techniques, ensuring you master every aspect of pandas. Youll start with an introduction to pandas and data analysis, followed by in-depth explorations of pandas Series and DataFrame, the core data structures.Learn essential skills for data cleaning and filtering, and master grouping and aggregation techniques to summarize and analyze your data sets effectively. Discover how to reshape and pivot data, join and merge multiple datasets, and handle time series analysis.Enhance your data analysis with compelling visualizations using Matplotlib, and apply your knowledge in a real-world scenario by analyzing bank customer churn. Through hands-on examples and practical use cases, this book equips you with the tools to clean, filter, aggregate, reshape, merge, and visualize data effectively, transforming it into actionable insights.What you will learn? Wrangle data efficiently using Pandas cleaning, filtering, and transformation techniques.? Unlock hidden patterns with advanced grouping, joining, and merging operations.? Master time series analysis with Pandas to extract valuable insights from your data.? Apply Pandas to real-world scenarios like customer churn analysis and financial modeling.? Unleash the power of data visualization with Matplotlib and craft compelling charts and graphs.? Enhance your workflow with essential Pandas optimizations and performance tips.Table of Contents1. Introduction to Pandas and Data Analysis2. Pandas Series3. Pandas DataFrame4. Data Cleaning with Pandas5. Data Filtering with Pandas6. Grouping and Aggregating Data7. Reshaping and Pivoting in Pandas8. Joining and Merging Data in Pandas9. Introduction to Time Series Analysis in Pandas10. Visualization Using Matplotlib11. Analyzing Bank Customer Churn Using Pandas IndexAbout the AuthorsTahera Firdose holds a postgraduate degree in Artificial Intelligence and has made significant strides in the fields of data analysis and machine learning. Her academic background, combined with her passion for these domains, has propelled her into a prominent position as an educator, blogger, and community influencer.Taheras expertise in Artificial Intelligence extends beyond theoretical knowledge; she has applied her skills in various practical and impactful projects. Her work in machine learning, particularly in developing innovative algorithms and predictive models, has been recognized for its excellence and practical applications. She is known for her ability to simplify complex concepts and make them accessible to a broader audience.An avid writer, Tahera frequently shares her insights and discoveries through her well-regarded blog. Her articles cover a wide range of topics within data analysis and machine learning, providing valuable resources for both beginners and seasoned professionals. Her wr...

Learn the ins and outs of a RabbitMQ-enabled microservices system.Key Features? Discover the fundamental principles of microservices and their organizational impact.? Develop a deep understanding of messaging and RabbitMQ within microservices architecture.? Acquire the expertise to seamlessly integrate and maximize the benefits of microservices with RabbitMQ for creating of robust and high-performing systems.Book DescriptionEmbark on a transformative journey into the world of microservices architecture withUltimate Microservices with RabbitMQ This comprehensive resource equips you with the knowledge and tools needed to design, deploy, and manage scalable microservices architectures using RabbitMQ as a messaging backbone.From laying the groundwork with foundational concepts to implementing advanced techniques, this book covers everything you need to know to build resilient and high-performing microservices-based systems. It dives into the intricacies of RabbitMQ messaging to leverage its capabilities to facilitate communication and data exchange across distributed systems. You will discover best practices for designing scalable and fault-tolerant microservices architectures, and gain insights into effective integration strategies.The book will help you learn to combine microservices and RabbitMQ for designing, building and maintaining robust architectures that leverage the strengths of both paradigms. By the end of this book, you will be primed to navigate the complexities of modern software development with confidence, driving innovation and efficiency in professional endeavors.What you will learn? Gain a solid understanding of microservices fundamentals and their organizational impact.? Explore various messaging paradigms and their application within RabbitMQ.? Implement RabbitMQ as a message broker within your microservices architecture.? Understand the prerequisites for maintaining a resilient microservices setup with RabbitMQ.? Explore upcoming trends in message-driven microservices architectures.Table of Contents1. An Introduction to Microservices2. A Deeper Look Into Microservices3. An Introduction to RabbitMQ4. RabbitMQ Use Cases5. Designing a Microservices Architecture With RabbitMQ6. Running A Microservices Architecture With RabbitMQ7. The Future of Microservices8. The Future of RabbitMQ IndexAbout the AuthorsPeter MorlionAfter obtaining a masters degree in Political Science, decided to become a software developer instead. He received his bachelors degree in Software Development in 2008, but had already found a job as a developer in 2007.Since then, Peter worked with a wide range of programming languages, including VB.NET, C#, JavaScript (front-end and back-end), TypeScript (front-end and back-end), Python, PHP and Java.As a software development consultant since 2015, Peter has been helping organizations reduce their technical debt and increase the stability of their systems. He has done so in different architectures (monolith, SOA, microservices, and serverless), always focusing on the quality of the system.In addition to his professional work, Peter organizes a local developers meetup group and is active in the parent-teacher association of his daughters school and the local se...