Marcus c lauritsen (30 Ergebnisse)

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Taschenbuch. Zustand: Neu. Neuware - Hands-On TensorFlow.js, Keras & React: Create Modern Web Apps with AI and Deep LearningDoes AI feel out of reach-too complex, too math-heavy, or 'only for Python pros' This beginner-friendly guide shows you how to build smart, interactive web apps in the browser using tools you already love: JavaScript, TensorFlow.js (with Keras-style APIs), and React. No prior AI experience required. If you can follow step-by-step instructions, you can ship your first browser-based AI feature with confidence.You'll learn by doing-moving from plain-English explanations to small, focused projects you can click, see, and improve. Along the way, you'll discover why on-device inference matters for privacy and speed, how to wire models cleanly into React components, and how to deliver production-ready UX with loading, empty, and error states that feel polished and humane.What you'll build and understand- AI in the browser, explained simply: Tensors, layers, training vs. inference, transfer learning-without drowning in theory.- TensorFlow.js + Keras workflow: Load, fine-tune, and run models with clear, Keras-style APIs.- Real projects: Image classification (MobileNet), a simple sentiment analyzer, and live webcam demos-customizable and ready to extend.- React integration that feels natural: Hooks, lazy loading, caching hints, and clean state for predictions and UI feedback.- Performance & deployment: WebGL/WASM backends, model size optimization, quantization, and PWA packaging for fast, offline-capable apps.- Responsible by design: Practical tips for accessible UI, user privacy, and basic model security in the browser.Why beginners succeed with this book- Step-by-step guidance that explains the why behind each step.- Mistakes welcomed: We debug together; every bump becomes a small win.- Modern stack, real results: JavaScript + React + TensorFlow.js means less setup, more building.Who it's forCurious beginners, web developers, and JS learners who want practical machine learning in JavaScript-without switching stacks. Python folks looking to bring models to the web will feel right at home with the Keras-style approach.Ready to build something smart-today Open the book, follow the steps, and launch your first intelligent React app. Your AI journey starts in the browser.…

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - Unlock the Power of Artificial Intelligence-Even If You're Starting from ScratchHave you ever been fascinated by the idea of machines that can learn and improve-yet felt overwhelmed by the technical jargon or complex math that fills most AI books You're not alone. Many beginners dream of building smart agents but worry they lack the background or skills to get started. This book changes everything.Reinforcement Learning for Beginners is your friendly, step-by-step roadmap to one of the most exciting fields in artificial intelligence. Written for absolute beginners, this guide gently leads you from your very first line of code to training agents that solve real-world challenges-no prior experience required.What Makes This Book Different - Truly Beginner-Friendly: No programming, math, or AI background needed. Every concept is explained in simple language, with plenty of real-life analogies and encouragement along the way.- Hands-On Learning: Follow clear, practical projects using Python and popular libraries like NumPy, PyTorch, and OpenAI Gym. Watch your code come to life as you build agents that play games, make decisions, and learn from experience.- Step-by-Step Progression: Each chapter builds gently on the last, so you never feel lost or left behind. Troubleshooting tips, quizzes, and summaries reinforce your understanding and boost your confidence.- Real-World Applications: Discover how reinforcement learning powers self-driving cars, game-playing AI, smart recommendations, trading strategies, robotics, and more. See exactly how these tools are used in industry today.- Mistakes Welcome: This book normalizes mistakes, celebrates every small win, and helps you turn setbacks into learning opportunities. Here, progress is more important than perfection.By reading this book, you will: - Demystify the core ideas of reinforcement learning with approachable explanations and visual guides- Build and train RL agents from scratch with fully documented, beginner-friendly code examples- Master essential topics: Q-learning, policy gradients, Deep Q-Networks (DQN), Actor-Critic, and more- Gain the confidence to experiment, tweak, and apply RL to your own creative projects-no matter your background- Develop practical coding skills in Python while working on real, rewarding challengesKeywords: reinforcement learning, machine learning for beginners, AI agent training, Python projects, hands-on artificial intelligence, deep reinforcement learning, Q-learning, PyTorch, OpenAI GymReady to take the first step into the world of AI Whether you want to start a new career, build your coding skills, or simply understand how smart technology works, this book is the perfect companion. Your journey starts here-open the first page and discover just how approachable, practical, and empowering learning reinforcement learning can be.Start building the future today. Your adventure in AI begins now.…

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - Building a real backend can feel overwhelming when routes, databases, authentication, testing, deployment, and security all seem to arrive at once. FastAPI Backend Engineering turns that complexity into a clear, practical learning path you can follow one step at a time.Designed for readers who are new to FastAPI and professional backend development, this book does not expect previous experience with APIs, databases, microservices, or production deployment. Basic familiarity with Python is helpful, and every major concept is introduced gradually so you can build confidence without being buried in unnecessary complexity.Instead of teaching isolated snippets, you will develop a continuing Production Workspace API that grows with you throughout the book. Larger implementations are broken into manageable stages, with explanations that show not only what the code does, but why each piece belongs where it does.Inside, you will learn how to: - Build and structure modern FastAPI REST APIs- Validate requests and responses with Pydantic- Understand async/await, concurrency, dependency injection, and application lifecycle- Store real application data with PostgreSQL and SQLAlchemy- Manage schema changes safely with Alembic- Add secure authentication, JWT bearer tokens, roles, permissions, and authorization- Write meaningful tests with pytest and HTTPX- Handle errors, retries, background tasks, and reliable workflows- Add logging, observability, health checks, and performance controls- Package and deploy backend services with Docker and cloud infrastructure- Build APIs for machine-learning inference, LLM services, retrieval, and streaming- Understand when to use a modular monolith and when microservices make senseThe book keeps the learning process practical and encouraging. Mistakes are treated as a normal part of programming, troubleshooting is built into the journey, and every successful endpoint, database operation, passing test, and secure feature becomes a meaningful win.By the final chapters, you will have moved far beyond simply knowing FastAPI syntax. You will understand how professional backend systems are designed, connected, secured, tested, and prepared for production.If you want a friendly, structured path into Python backend development, API engineering, databases, authentication, cloud deployment, AI backends, and microservices, this book is built to guide you from the first working application to a complete production architecture.Start with the first endpoint, build one layer at a time, and begin your backend engineering journey today.…

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - Building a modern web application can feel overwhelming when every tutorial suddenly throws React, TypeScript, databases, authentication, APIs, caching, testing, and deployment at you all at once.Next.js 16 Full-Stack Engineering is designed to make that journey clearer, more practical, and far less intimidating.You do not need prior experience with Next.js, TypeScript, databases, authentication, Server Components, testing, or deployment. Basic familiarity with JavaScript is helpful, and the book introduces the rest progressively as you build. Instead of overwhelming you with disconnected concepts, it guides you through one practical full-stack application from initial setup to production deployment.You will learn how the pieces of a modern Next.js application fit together, why certain architectural decisions matter, and how to build with confidence rather than simply copying code.Inside, you will learn how to: - Set up a modern Next.js 16 and TypeScript project using the App Router- Understand React Server Components and Client Components- Build routes, layouts, forms, mutations, loading states, and error handling- Work with Server Actions, caching, revalidation, and validation- Connect applications to PostgreSQL and build a maintainable data layer- Implement authentication, authorization, roles, and application security- Create complete full-stack features with search, filtering, APIs, webhooks, and external services- Improve SEO, accessibility, performance, and user experience- Test important workflows, including full-stack and end-to-end testing- Debug failures, add logging and monitoring, and prepare applications for production- Deploy to Vercel or self-host with Node.js and containersThe examples are introduced in manageable stages instead of long, unexplained code listings. Each step builds on what you have already completed, helping you understand not only what the code does, but why it belongs where it does.And when something breaks, that is part of the process.A routing mistake, failed database query, TypeScript error, broken build, or validation problem is not treated as failure. The book encourages you to understand what happened, fix it, and use that small win to strengthen your problem-solving skills.By the end, you will have more than a collection of Next.js examples. You will understand how to approach a real full-stack web application with clearer thinking about architecture, data flow, security, testing, performance, and deployment.If you are ready to move beyond scattered tutorials and start building practical, production-ready applications step by step, Next.js 16 Full-Stack Engineering is the supportive guide to help you begin.Start building today and turn your first working route, successful database query, protected feature, and production deployment into the foundation of your full-stack development journey.…

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 366 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.