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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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Paperback. Etat : new. Paperback. Are you ready to build your very first modern website-even if you've never written a line of code before?If you've ever felt overwhelmed by tech jargon, confused by fast-paced tutorials, or worried that web development is "too hard" for you, you're not alone. Next.js & Headless CMS Mastery was c…reated for complete beginners who want a truly accessible, step-by-step path to building beautiful, dynamic websites with confidence.This is more than just another tech book-it's your friendly companion on a learning journey where mistakes are normal, small wins are celebrated, and progress is always possible. You don't need any background in programming, design, or content management systems. With clear explanations, practical examples, and nurturing encouragement, this book will meet you exactly where you are.Inside, you'll discover: A gentle introduction to modern web development: Learn what JAMstack means, how Next.js works, and why headless CMS platforms like Strapi, Sanity, and Contentful are transforming how websites are built.Step-by-step tutorials-no prior experience required: Follow along as you set up your first Next.js project, connect it to a headless CMS, and build real, dynamic web pages you can proudly share.Real-world, practical skills: Gain hands-on experience fetching content, designing pages, securing your site, and deploying it live with confidence-skills employers and clients love.A supportive learning environment: Each chapter breaks down complex concepts into manageable steps, normalizes common mistakes, and provides gentle reminders that every small step forward counts.Project-based learning: Create a complete portfolio website from scratch, learning how to customize, update, and scale it-skills you can apply to any web project.Expert guidance, explained simply: Enjoy approachable explanations, troubleshooting tips, and personal insights designed to make web development feel less intimidating and more rewarding.By the end of this book, you'll be able to: Build and launch modern, responsive websites using Next.js and headless CMS platformsUnderstand the "why" behind every step-not just "how to"Update your site's content easily without technical headachesApply best practices for site structure, security, SEO, and deploymentMistakes aren't setbacks-they're stepping stones. Every chapter is crafted to cheer you on, help you recover quickly from roadblocks, and turn each challenge into a learning victory.Ready to transform your tech anxiety into creative confidence? Start your empowering coding journey today with "Next.js & Headless CMS Mastery"-the supportive, practical, and friendly guide designed for you.Build your dream website. Discover new possibilities. Celebrate every step.Start reading now and see just how far you can go! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Etat : new. Paperback. Are you curious about artificial intelligence and machine learning, but worried you're not "technical" enough to start?You're not alone-and this book was written especially for you.Deep Learning and Machine Learning for Beginners is your supportive, step-by-step guide to mastering the modern wor…ld of AI-no advanced math, coding experience, or background required. Whether you've felt lost in jargon, overwhelmed by complex code, or simply unsure where to begin, this friendly book will show you the way with patience, warmth, and encouragement.Why This Book?Start from Scratch: You'll learn everything you need, from Python basics to building your first real machine learning models, all explained in plain English.Hands-On and Practical: Tackle real-world projects with PyTorch, TensorFlow, and Scikit-Learn. You won't just read about data science and neural networks-you'll actually build them, one small step at a time.Mistakes Welcome: Learning technology can be intimidating. This book normalizes trial and error, celebrating each small win and helping you turn confusion into confidence.Accessible Explanations: Every chapter is crafted with complete beginners in mind. Technical concepts are broken down into simple, relatable ideas-making advanced topics like deep learning approachable for everyone.Supportive Tone: The author shares personal insights, encouragement, and practical tips to help you enjoy the journey, avoid frustration, and stay motivated.What You'll Learn: The core ideas behind machine learning and deep learning, demystifiedHow to prepare, clean, and understand data for real-world projectsBuilding and evaluating models using Scikit-Learn, PyTorch, and TensorFlowCreating practical applications-from image recognition to text classification and moreKey tools, workflows, and coding best practices to set you up for successHow to overcome self-doubt and celebrate progress at every stepPerfect For: Complete beginners and self-learners eager to break into artificial intelligence and data scienceStudents, career-changers, and anyone ready to build valuable new tech skillsReaders seeking a kind, confidence-building companion on their coding journeyIf you're ready to stop feeling intimidated by technology and start building real AI projects with confidence, this is the book for you. With every chapter, you'll discover that machine learning isn't just for "experts"-it's for anyone willing to learn, experiment, and grow.Start your empowering journey today-discover the exciting world of deep learning and machine learning, one step at a time! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Etat : new. Paperback. Build Fast, Modern Websites Without Feeling Overwhelmed - Even If You're a Complete BeginnerDoes the idea of "headless WordPress," "Next.js," or "APIs" make your head spin? You're not alone. Many aspiring developers want to build professional, high-performance websites but feel intimidated by co…mplex tools, confusing jargon, or fear of making mistakes. This book is your gentle, supportive introduction to the modern web - designed for curious beginners who want to learn without stress.Mastering Headless WordPress with Next.js takes you on a friendly, step-by-step journey where you'll learn how to combine the world's most popular content platform - WordPress - with the speed and flexibility of Next.js. No prior coding experience? No problem. Every concept is explained clearly, with real-world examples and hands-on guidance that builds your confidence as you go.You'll discover how to: - Set up your development environment with ease- Use WordPress as a powerful headless CMS with APIs- Build dynamic, content-rich pages in Next.js using React- Add features like SEO optimization, search, comments, and pagination- Create responsive layouts using CSS Modules, Tailwind CSS, or Styled Components- Integrate WooCommerce to power e-commerce storefronts- Deploy your finished project to fast, reliable hosting platforms like Vercel- Boost performance, security, and user experience using modern best practicesInstead of drowning you in theory, this book guides you through building real projects - from a modern blog to advanced content features and e-commerce - so you gain practical skills you can use right away. Mistakes are expected and celebrated here! You'll learn why things break, how to fix them, and how every challenge makes you a better developer.Whether you dream of launching your own website, leveling up your career, or helping clients create faster and more scalable digital experiences, this book gives you everything you need to succeed - including encouragement every step of the way.By the end, you'll: Understand how headless CMS architecture works Feel confident using WordPress and Next.js together Build and deploy modern web apps you're proud to share Develop the mindset and skills to keep learning and growingTake a deep breath - you've got this. With this book by your side, you'll see that modern web development isn't a secret club reserved for experts. It's a skill anyone can learn, including you.Start your journey today and build the fast, scalable websites of the future - one easy, empowering step at a time. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Etat : new. Paperback. Unlock the Power of Deep Learning-No Experience Needed!Are you fascinated by artificial intelligence, but intimidated by complex code, jargon, or the fear of making mistakes? Do you wish for a patient guide to walk you step-by-step through modern machine learning-without assuming you're already…an expert? You're not alone, and you're in the right place.Scalable Deep Learning in Practice is your welcoming companion on the journey from beginner to confident deep learning practitioner. This hands-on book is designed for readers just like you: complete beginners, self-taught learners, and curious coders eager to turn ambition into real-world AI skills.You don't need a technical background to succeed. Every chapter breaks down intimidating concepts into clear, friendly explanations and walks you through building, training, and deploying powerful neural networks using PyTorch Lightning and ONNX. Each lesson celebrates small victories and normalizes mistakes, because learning should be encouraging, not overwhelming.Inside this book, you'll discover: Step-by-Step Guidance: Start from zero and build up-install tools, write your first Python code, and create your own deep learning models with confidence.Practical Projects: Work through real image and text classification projects, see your code in action, and develop skills you can use right away.Modern, Scalable Workflows: Learn how to train models faster, track experiments, and deploy your solutions anywhere-from your laptop to the cloud-using industry-leading tools.Mistakes Are Welcome: Enjoy a supportive learning environment where confusion is normal and every "aha!" moment is worth celebrating.Real-World Applications: Go beyond theory-discover how to take your models from idea to production with clear instructions on exporting to ONNX and serving with FastAPI.Personal Insights & Encouragement: Benefit from honest stories, troubleshooting tips, and practical advice from someone who knows what it's like to start from scratch.Whether you dream of building your own AI apps, landing a job in data science, or simply understanding what's behind today's smartest technologies, this book is your empowering first step.Key topics covered include: Deep learning for beginnersPyTorch Lightning tutorialONNX model deploymentReproducible machine learning workflowsFastAPI and real-world ML API deploymentScaling projects for speed and reliabilityNo experience? No problem! Open the first page, follow along at your own pace, and watch your confidence grow as you master the essentials of scalable deep learning.Ready to unlock your AI potential? Start your learning adventure today with a book that's as supportive as it is practical-your journey to real-world deep learning begins right here. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Etat : new. Paperback. Are you curious about machine learning but feel overwhelmed by math, jargon, and complex tutorials?If words like XGBoost, LightGBM, and gradient boosting sound exciting but intimidating, this book is your friendly guide through the noise.Hands-On Gradient Boosting with Python: A Practical Introd…uction to XGBoost, LightGBM, and the Scikit-Learn Ecosystem is written for complete beginners and self-taught developers who want a clear, step-by-step path into modern Python machine learning-without needing a PhD or years of coding experience.You'll start with the basics of Python, scikit-learn, and tabular data, then gently build up to powerful boosting models used in real-world projects and Kaggle competitions. Every chapter walks you through code line by line, explains why each step matters, and shows you how to avoid common mistakes.Inside, you'll learn how to: Set up your Python machine learning environment with confidenceUnderstand core concepts like decision trees, ensembles, and gradient boosting in plain EnglishBuild practical models with scikit-learn, XGBoost, and LightGBM for regression and classificationWork on real-world projects such as house price prediction and credit risk scoringTune hyperparameters, handle imbalanced data, and evaluate models with metrics like AUC, F1, and RMSEUse SHAP and LIME for model explainability so you can trust your predictionsSave, load, and deploy your models so they are ready for real applicationsThroughout the book, you're treated like a learner-not a walking error message. Mistakes are normalized, experiments are encouraged, and every "small win" is celebrated: Clear explanations before any codeGradual progression from simple to advanced modelsGentle reminders that confusion is part of learningPractical tips for debugging, improving, and reusing your workWhether you're a student, an aspiring data scientist, or a developer stepping into Python machine learning for the first time, this book becomes your supportive companion-one that makes gradient boosting feel approachable, understandable, and genuinely fun.If you're ready to stop scrolling tutorials and start building real models that actually work, open this book and begin your hands-on journey into gradient boosting with Python today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Etat : new. Paperback. Are you curious about artificial intelligence but feel overwhelmed by technical jargon and complex coding? Do you wish you had a gentle, supportive guide that makes machine learning and deep learning not just understandable-but truly enjoyable, even if you've never written a line of code before?…Mastering the Modern AI Stack: A Hands-On Guide to Python, Scikit-Learn, TensorFlow, PyTorch, and Advanced Transformer Models is the warm, step-by-step companion you've been searching for. Written especially for beginners and lifelong learners, this book welcomes you with open arms-no math degree, programming experience, or tech background required.What makes this book different?You'll discover that the world of AI is not reserved for experts-it's for anyone with curiosity and a willingness to learn. This hands-on guide breaks down complex topics into simple, manageable steps and builds your confidence page by page: Start from Zero, Build Real Skills: Learn Python, machine learning, and deep learning with Scikit-Learn, TensorFlow, PyTorch, and Hugging Face-one friendly chapter at a time.Practical Projects You'll Love: Apply what you learn to real-world tasks-like image recognition, text classification, and building powerful transformer models for natural language processing (NLP).Mistakes Are Part of the Journey: Every chapter is filled with encouragement, troubleshooting tips, and honest stories that normalize making mistakes and turn setbacks into victories.Celebrate Every Win: Progress is measured in small, achievable goals, so you'll feel a sense of accomplishment every step of the way.Cheat Sheets, Glossaries, and Step-by-Step Code: Designed for true beginners, with instant reference guides and code explained in plain English-no guessing, no jargon overload.Your Supportive Mentor in a Book: The tone is personal, approachable, and motivational-making sure you always feel seen, supported, and never left behind.Whether you want to jumpstart a new career, bring AI skills to your current job, or simply explore the latest technology for fun, this book shows you how to: Build your first AI and machine learning models using Python and Scikit-Learn.Dive into deep learning with hands-on projects in TensorFlow and PyTorch.Explore NLP and transformer models using Hugging Face-the tools behind today's most exciting AI breakthroughs.Deploy your models in real-world applications, learning the entire modern AI stack from scratch.No more feeling lost or intimidated. This guide transforms confusion into confidence and hesitation into real, usable skills-helping you unlock the practical power of AI, step by step.Ready to start your empowering coding journey?Join thousands of readers who are discovering that AI and machine learning are for everyone. Open this book today-and let's build your future together, one friendly step at a time. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Etat : new. Paperback. Break Through Your Coding Fears-Start Building Real-World Web Apps Today!Are you eager to learn web development but feel overwhelmed by complicated jargon or worried that you'll "mess things up"? You're not alone. Full-Stack Web Development with Django, React, and Tailwind CSS is your friendly,…step-by-step guide for absolute beginners-no experience required and no technical background needed.This book is written just for you-the curious learner, career switcher, or self-taught coder who dreams of building professional, modern web applications but isn't sure where to start. Inside, you'll discover that learning to code can be clear, supportive, and even fun.What Makes This Book Different?Beginner-Friendly Approach: Every chapter is designed to build your confidence. Each concept is explained in plain English, with no assumptions and no rush.Step-by-Step Learning: Start from scratch-set up your development environment, understand how the web works, and build real projects using Django (Python), React (JavaScript), and Tailwind CSS.Hands-On Projects: Learn by doing with guided examples and practical exercises that show you exactly how to turn ideas into real, working web applications.Modern Tech Stack: Master the tools and frameworks powering today's best web apps-Django for robust backends, React for dynamic frontends, and Tailwind CSS for beautiful, responsive design.Encouragement Every Step: Mistakes are part of the process! This book normalizes setbacks, celebrates small wins, and nurtures your growth with real "Personal Insights" from a fellow learner.Real-World Applications: Build a complete project from start to finish and learn how to deploy your app online-so you can share your work with the world.Key Takeaways: Understand both frontend and backend web development with clear, approachable tutorials.Connect Python, JavaScript, and modern UI/UX for in-demand, job-ready skills.Gain confidence with a book that's as supportive as a mentor and as practical as a workshop.Join the growing community of developers creating full stack web apps-starting from zero, just like you.Ready to stop feeling intimidated by technology and start creating with it?Open this book and let a warm, supportive guide show you how to build powerful, modern web applications from scratch. You'll celebrate every small victory and discover that, yes-you can do this!Start your coding journey now. Empower yourself with practical skills, modern tools, and encouragement every step of the way. Your first web app is waiting-let's build it together! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Etat : new. Paperback. AI Engineering for Web DevelopersBuild Production-Ready LLM and RAG Apps with React, Next.js, and Tailwind CSSArtificial intelligence is no longer experimental-it's powering real products used by millions. But how do you move beyond simple demos and actually build reliable, scalable AI features…into modern web applications?AI Engineering for Web Developers is your practical, hands-on guide to building production-ready applications powered by large language models (LLMs) and retrieval-augmented generation (RAG). Designed specifically for web developers, this book shows you how to integrate AI into real-world apps using React, Next.js, and Tailwind CSS-without needing a machine learning background.Whether you're new to AI or looking to level up your engineering skills, this book walks you step by step through modern AI application architecture, prompt engineering, vector embeddings, semantic search, and secure deployment strategies.What You'll Learn- How large language models (LLMs) work in real production systems- How to design and implement retrieval-augmented generation (RAG) pipelines- Embeddings, vector databases, and semantic search explained clearly- Building a robust LLM API layer in Next.js- Streaming AI responses in modern web applications- Prompt engineering, guardrails, and hallucination mitigation- Rate limiting, logging, monitoring, and observability for AI workloads- Designing AI agents and tool-calling workflows- Performance optimization, cost control, and token budgeting- Security, privacy, and compliance basics for AI-powered appsBuilt for Web DevelopersIf you already know JavaScript and have experience with React or Next.js, you're ready. This book focuses on implementation-not abstract theory. You'll build real features including: - AI-powered chat and summarization tools- Documentation and knowledge-base copilots- End-to-end RAG systems with chunking and ingestion pipelines- Production-ready AI dashboards with Tailwind CSS- Deployment strategies for staging and production environmentsEvery chapter emphasizes reliability, scalability, and clean architecture-so your applications work not just in development, but in production.From Experiment to ProductionMost AI tutorials stop at basic demos. This book goes further.You'll learn how to handle API timeouts, retries, streaming responses, rate limits, abuse prevention, logging, and monitoring. You'll understand how to structure AI services cleanly within a modern full-stack architecture and how to measure performance and return on investment.By the end of this book, you won't just understand AI concepts-you'll have the skills to design, build, deploy, and operate real LLM-powered web applications.If you're ready to combine modern web development with practical AI engineering-and build intelligent applications that are secure, scalable, and production-ready-this guide will show you how.Start building the next generation of AI-powered web apps today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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EUR 35,78
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Paperback. Etat : new. Paperback. Feeling curious about coding but secretly worried you're "not technical enough" to become a web developer?This book was written for you.Mastering Spring Boot 3 and React 19: Build Scalable Web Applications from Scratch gently takes you from absolute beginner to confident full-stack developer-wit…hout assuming any prior programming experience. With a warm, encouraging tone and clear, step-by-step guidance, you'll learn how modern web apps really work using Spring Boot 3, Java, React 19, and JavaScript-one small win at a time.Instead of drowning you in jargon, this book walks beside you like a supportive coach. You'll set up your tools together, write your first lines of code, and gradually build real projects you can be proud of, including a complete Task Manager app and a more advanced capstone full-stack application.Inside, you'll discover how to: Understand the basics of full stack web development-frontend, backend, databases, APIs, and how everything fits together.Build robust REST APIs with Spring Boot 3, Java, Spring Data JPA, and secure them with JWT authentication.Create modern, responsive user interfaces using React 19, components, props, state, hooks, and forms.Connect Spring Boot and React so your frontend and backend talk to each other seamlessly.Handle real-world tasks: error handling, validation, logging, testing, and deployment to the cloud.Follow a project-based learning path where every chapter adds new features and deepens your skills.Along the way, you'll find: Short, focused examples you can actually understand and modify.Honest guidance that normalizes mistakes and shows you how to debug without panic.Gentle reminders to celebrate each small step-from a passing test to your first deployed app.This is not just another dense reference manual. It's a beginner-friendly, hands-on roadmap that turns "I'm scared of code" into "I can build full-stack applications with Spring Boot and React."If you've ever dreamed of creating your own web apps, changing careers into tech, or simply understanding how modern websites work, this book is your supportive companion for the journey.Take the first confident step into full-stack development today-open this book, and let's start building something amazing together. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Edité par Independently Published, 2025
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-UnisGrand Eagle Retail
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EUR 35,09
Frais de port gratuitsExpédition nationale : Etats-UnisQuantité disponible : 1 disponible(s)
Paperback. Etat : new. Paperback. Does machine learning feel out of reach-something only experts or PhDs can understand?If you've ever felt intimidated by complex jargon or worried you don't "belong" in tech, this book is here to change that. Hands-On Machine Learning with PyTorch, TensorFlow, and Scikit-Learn: Step-by-Step Proj…ects for Beginners and Beyond is your friendly, confidence-building guide to learning AI and machine learning-no prior coding or math experience required.Inside, you'll discover a warm, supportive approach that makes technical concepts simple, practical, and even enjoyable. Instead of overwhelming theory, you'll gain real skills by building actual projects using today's most popular frameworks: PyTorch, TensorFlow, and Scikit-Learn. Each chapter walks you through every step at a beginner's pace, with clear explanations and hands-on coding exercises you can follow along with at home.What you'll learn inside this book: How to set up your Python environment and start coding with ease.Beginner-friendly introductions to classification, regression, clustering, and deep learning.Practical projects with real-world datasets-such as image recognition and text classification-using PyTorch, TensorFlow, and Scikit-Learn side by side.Confidence-building strategies that normalize mistakes, encourage curiosity, and celebrate small wins.How to improve, evaluate, and even deploy your models using modern tools.A gentle introduction to responsible AI, bias, and the future of machine learning.Unlike dense textbooks or one-size-fits-all tutorials, this book was designed with complete beginners in mind. You'll always know why you're doing something, not just what to type. Each chapter feels like having a patient mentor at your side-someone who explains complex ideas in plain English, helps you troubleshoot when things go wrong, and cheers you on as you grow.By the time you finish, you won't just understand machine learning-you'll have built real projects, gained practical skills, and discovered that AI is not only approachable but also exciting and rewarding.If you've ever dreamed of learning AI but didn't know where to start, this is your step-by-step guide.Take the leap today, and let this book be your supportive companion on a journey that turns curiosity into confidence and beginners into creators. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
