Kalman vincze (50 risultati)

Paperback. Condizione: New.

Taschenbuch. Condizione: Neu. Neuware - Azure can feel overwhelming when you are just getting started. This book makes it manageable.Azure Without the Overwhelm is a practical, beginner-friendly introduction to cloud computing for readers who want to stop clicking through endless menus and start building something real.Instead of trying to teach every Azure service, this book focuses on the small set of skills you actually need to complete your first useful cloud project. Step by step, you will take a simple Python Flask application from your computer to the cloud, publish it with Azure App Service, work with Blob Storage, manage the resources behind your application, troubleshoot common problems, monitor costs, and clean up your environment responsibly.You do not need previous Azure experience, advanced cloud knowledge, or enterprise IT skills. The lessons are designed to help first-time users understand what they are doing, why each resource exists, and how the pieces fit together.Inside, you will learn how to: - Navigate the Azure Portal without getting lost in unnecessary services- Understand subscriptions, regions, resource groups, and cloud resources- Prepare and test a simple Flask web application locally- Deploy a real application to Azure App Service- Update and redeploy your live application- Create Azure Blob Storage and manage files in the cloud- Understand the relationship between your web app, App Service plan, and storage account- Use logs and built-in diagnostics to investigate simple application problems- Review project costs and create a basic Azure budget- Safely remove resources when your learning project is completeThe book uses one continuous project so every new concept has a clear purpose. You will not create random resources just to see what they do. Each step builds on the one before it, helping you develop a practical mental model of Azure while gaining hands-on experience.Whether you are a student exploring cloud computing, a developer moving beyond local applications, an IT professional building cloud skills, or a career switcher looking for a practical introduction to Azure, this book gives you a focused place to begin.You do not need to master Azure in a weekend. You need to understand enough to build, deploy, manage, and confidently continue learning.Start with one project. Learn the workflow. Build your cloud foundation.…

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware - Move beyond your first successful AI API call and learn how to build AI features your application can actually depend on.Connecting software to an AI model is easier than ever. The harder part is turning that connection into a feature that handles real user input, produces useful results, survives failures, controls usage, and fits cleanly into the rest of your application.AI APIs for Real Applications is a practical, beginner-friendly guide for developers who want to understand how hosted AI models fit into real software.Instead of jumping between unrelated examples, you will build and improve one continuous project: an AI-powered Support Assistant. Starting with a simple API request, you will gradually develop a more complete and reliable integration while learning why each part of the workflow matters.You will learn how to: - Connect a JavaScript and Node.js application to a hosted AI model- Create and protect API credentials- Build reusable AI requests with clear instructions and user input- Work with API responses and structured JSON output- Parse and validate model-generated application data- Keep AI requests securely on the server side- Handle authentication, network, request, and service failures- Add timeouts, retries, backoff, and fallback behavior- Manage conversation context across multiple requests- Stream responses for a more responsive user experience- Understand tokens, rate limits, usage, cost, and performance- Test AI-powered features and detect regressions- Log requests and failures safely- Treat model output as untrusted application data- Prepare an AI integration for real usersThis book focuses on the skills that remain useful even as individual models, SDKs, and AI providers change. You will learn the underlying request-and-response workflow, how your application should control it, and how to make model output useful to ordinary software.You do not need experience training machine-learning models or managing AI infrastructure. Basic programming knowledge is enough to begin.If you can work with variables, functions, objects, and a development environment, this book will help you take the next step from experimenting with AI APIs to building practical AI-powered application features with greater confidence and reliability.…

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware.

Paperback. Condizione: New.

Taschenbuch. Condizione: Neu. Neuware - Learn Laravel 13 by Building Projects is a practical, beginner-friendly guide that teaches you how to create dynamic PHP web applications by building a complete Laravel project from start to finish.Instead of learning Laravel as a collection of disconnected commands and features, you will build ProjectBoard, a database-driven project management application that grows step by step throughout the book. Each chapter introduces the Laravel concepts you need at the right moment, then shows you how to apply them inside a working application.You will learn how to set up a Laravel 13 project, define routes, organize logic with controllers, build dynamic pages with Blade, validate form input, design database tables with migrations, work with records through Eloquent ORM, and create full CRUD features. As the project expands, you will connect projects and tasks with relationships, add authentication, protect user actions with authorization policies, upload project images, build reusable Blade components, test important workflows with Pest, and prepare the application for deployment.Inside this book, you will learn how to: - Build a complete Laravel 13 application from the ground up- Understand MVC and Laravel's request-response flow- Create routes, controllers, Blade views, layouts, and forms- Validate user input and display helpful feedback- Design database tables with migrations and seed realistic data- Use Eloquent models, relationships, and CRUD operations- Add authentication and protect user-owned records- Search, filter, paginate, and improve the user experience- Test pages, validation, database changes, and authorization rules- Prepare and troubleshoot a Laravel application for productionThis book is written for beginners who understand basic PHP, HTML, and programming concepts but want a clear path into real Laravel development. You do not need previous Laravel experience.By the end, you will have more than a finished project. You will understand how Laravel applications are structured, how their main parts work together, and how to approach your own database-driven web applications with confidence.…

Taschenbuch. Condizione: Neu. Neuware - Practical Keras 3 for Deep LearningLearn deep learning by building real models with Keras 3, one practical step at a time.Deep learning can feel overwhelming when you are faced with neural networks, training algorithms, multiple frameworks, and unfamiliar terminology all at once. Practical Keras 3 for Deep Learning gives you a clear, beginner-friendly path from your first Keras model to complete deep learning workflows you can understand, train, evaluate, improve, and reuse.Rather than treating TensorFlow, JAX, and PyTorch as three separate technologies you must master, this book teaches you how to work primarily through Keras 3's modern multi-backend API while understanding how each backend fits into the process.You will begin with the foundations, including Python setup, neural network inputs and outputs, weights, biases, layers, activation functions, loss, and optimization. From there, you will gradually move into practical model building, data preparation, training, evaluation, regularization, and prediction.Inside this hands-on guide, you will learn how to: - Set up Python, Keras 3, and a working deep learning environment- Understand how neural networks learn from data- Build models with the Sequential and Functional APIs- Prepare, normalize, and split datasets correctly- Configure losses, optimizers, metrics, and model training- Recognize underfitting and overfitting- Improve model generalization with practical techniques- Build convolutional neural networks for image classification- Use pretrained models and transfer learning- Fine-tune models for better performance- Create models with multiple inputs and outputs- Run Keras workflows with TensorFlow, JAX, and PyTorch backends- Save trained models and load them for future predictions- Build a complete deep learning project from problem definition to predictionEach chapter builds naturally on the previous one, with practical Python code and explanations focused on helping you understand not only what to write, but why each part of the workflow matters.No previous experience with neural networks, TensorFlow, JAX, or PyTorch is required. If you know the basics of Python and want a structured introduction to modern deep learning, this book gives you the foundation you need to start building confidently with Keras 3.Build the model. Train it. Evaluate it. Improve it. Then turn what you learned into real predictions.…

Taschenbuch. Condizione: Neu. Neuware - Think in React, Build with TypeScriptLearn React the way modern applications are actually built, with TypeScript beside you from the very beginning.React can feel simple at first. Create a component, return some JSX, and put it on the screen. But once props, state, forms, hooks, routing, APIs, and TypeScript enter the picture, beginners often struggle to understand how everything fits together.Think in React, Build with TypeScript gives you a clear, practical path from your first component to a complete modern web application.Instead of teaching React and TypeScript as separate subjects, this hands-on guide brings them together through one continuous project called ProjectBoard. As the application grows, you will learn each concept when you actually need it, helping you understand not only the syntax, but also the reasoning behind the way React applications are structured.Inside this book, you will learn how to: - Think in components and break interfaces into meaningful reusable pieces- Create React applications with TypeScript, TSX, and Vite- Pass data safely with props and TypeScript types- Render lists and conditional content- Handle user events with TypeScript- Build interactive interfaces with useState- Update objects and arrays in state correctly- Decide where application state should live- Share data with Context and useContext- Build type-safe forms and validate user input- Understand when useEffect is actually needed- Work with browser features and DOM elements using useRef- Extract reusable behavior into custom hooks- Create multi-page experiences with React Router- Build dynamic routes and navigation- Fetch and display data from REST APIs- Handle loading, error, and empty states- Create, update, and delete remote data with CRUD operations- Keep the interface synchronized after API changes- Refactor components, types, and project structure- Prepare a React application for production- Build, deploy, and verify a finished web applicationThis book is designed for beginners who already understand the basics of HTML, CSS, and JavaScript but do not need previous experience with React or TypeScript.You will not be overwhelmed with advanced patterns before you need them. Each chapter builds naturally on the previous one, so concepts such as components, props, state, hooks, routing, and APIs become part of one connected development workflow rather than isolated lessons.By the end of the book, you will understand how to approach a React application from the interface down, decide where components and state belong, use TypeScript to make your code safer, connect your application to APIs, and prepare a real project for deployment.If you are ready to move beyond copying React tutorials and start understanding how modern React applications actually come together, this book will give you the foundation to build with confidence. …

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware - Learn JAX from the ground up and discover how its most powerful features fit together in a practical machine learning workflow.JAX brings together NumPy-style array computing, automatic differentiation, compilation, vectorization, and hardware acceleration. These capabilities make it an exciting tool for modern machine learning, but they can also make JAX feel difficult to approach when you are just getting started.JAX Fundamentals for Modern Machine Learning provides a clear, practical introduction designed for Python users who want to understand JAX without being overwhelmed by research-level examples or unnecessary complexity.Instead of treating JAX as a collection of isolated functions, this book teaches the fundamentals progressively. You will begin with arrays and JAX-friendly Python, then build your understanding of gradients, JIT compilation, vectorization, neural networks, and accelerated execution as each concept becomes useful.Throughout the book, you will gradually build a handwritten digit classifier with a neural network, giving every major JAX concept a practical purpose.Inside this book, you will learn how to: - Create, reshape, inspect, and manipulate JAX arrays- Understand shapes, data types, broadcasting, and immutable updates- Write pure functions and manage state in a JAX-friendly way- Work correctly with JAX random number keys- Organize model parameters using PyTrees- Calculate derivatives and gradients with jax.grad- Compute values and gradients together with jax.value_and_grad- Speed up numerical functions using jax.jit- Understand tracing, recompilation, and common JIT errors- Vectorize computations and batches with jax.vmap- Combine vmap, grad, and jit in practical workflows- Build a neural network from basic JAX operations- Create loss and accuracy functions- Compute gradients and update model parameters during training- Build and run a compiled training step- Evaluate a trained classifier and make predictions- Save and reload learned model parameters- Understand CPU, GPU, and TPU execution in JAX- Measure performance and work with asynchronous execution- Diagnose common JAX errors involving shapes, tracers, devices, randomness, and trainingThe examples stay focused on the skills you actually need to understand JAX. You will not be asked to memorize a large framework or copy a finished machine learning system without understanding how it works.By the end of the book, you will have built a complete beginner-friendly machine learning project while developing a practical understanding of the JAX tools that make modern numerical computing fast, composable, and powerful.Whether you are coming from Python, NumPy, machine learning, or another numerical computing library, this book will give you the foundation you need to start using JAX with confidence. …

Taschenbuch. Condizione: Neu. Neuware - Build intelligent AI agents, automate complex workflows, and create practical multi-agent applications with CrewAI-even if you are just getting started.Artificial intelligence is moving beyond simple chatbots. Modern AI agents can research information, use tools, make decisions, collaborate with other agents, and complete multi-step tasks with minimal supervision. However, building these systems can feel overwhelming when most tutorials assume advanced programming or AI experience.CrewAI Made Simple provides a clear, beginner-friendly path into agentic AI development. Through practical explanations, step-by-step examples, and realistic projects, you will learn how to use CrewAI and Python to design specialized agents, assign tasks, coordinate crews, connect external tools, and build reliable AI-powered workflows.Inside this book, you will learn how to: - Understand AI agents, multi-agent systems, and LLM-powered automation- Install Python, CrewAI, dependencies, and development tools correctly- Configure language models, API keys, and environment variables- Create agents with effective roles, goals, backstories, and responsibilities- Design tasks and pass information between workflow stages- Build and coordinate collaborative multi-agent crews- Connect search tools, APIs, databases, files, and external resources- Manage agent memory, context, reasoning, and decision-making- Develop practical research, content creation, and business-analysis systems- Debug common errors and test agent workflows effectively- Improve reliability, accuracy, performance, and output quality- Prepare CrewAI applications for deployment, maintenance, and scalingYou will also build practical projects such as an AI research assistant, an automated content creation workflow, a business analysis crew, and systems for handling repetitive knowledge work. The book progresses from foundational concepts to production-focused practices, including security, cost management, monitoring, testing, and optimization.Whether you are a beginner exploring AI development, a Python programmer interested in agentic AI, a business professional seeking smarter automation, or a developer building intelligent applications, this guide will help you understand not only how CrewAI works, but also how to use it effectively in real-world projects.Stop relying on isolated prompts. Start building organized teams of AI agents that can research, reason, collaborate, and complete meaningful work.…

Paperback. Condizione: New.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. Build AI that answers from the information you trust, not just from what a language model already knows.Large language models are powerful, but they do not automatically know your private documents, internal knowledge, product information, policies, research, or other specialized sources. Retrieval-Augmented Generation (RAG) solves that problem by connecting language models with relevant external knowledge before an answer is generated.Building Useful AI with RAG is a practical, beginner-friendly guide to understanding that workflow by building it yourself.Instead of overwhelming you with multiple frameworks, databases, and advanced techniques at once, this book focuses on the core RAG process and develops one continuous project: a Trusted Knowledge Assistant that can search a collection of documents, retrieve relevant information, and use that evidence to produce grounded answers.You will move step by step from raw documents to a complete working RAG application while understanding what each component contributes and how the pieces fit together.Inside the book, you will learn how to: Understand why language models need external knowledge and where RAG fits into modern AI applicationsPrepare and normalize trusted documents for reliable retrievalDivide documents into useful chunks without losing important contextUnderstand and create embeddings for documents and user questionsBuild a searchable vector indexUse semantic similarity to retrieve the most relevant knowledgePreserve metadata so retrieved information remains connected to its original sourceBuild reusable retrieval logic for an AI assistantCombine retrieved knowledge with a language model to create an end-to-end RAG pipelineGenerate answers that stay grounded in the available evidenceDisplay sources and handle questions the knowledge base cannot answerEvaluate retrieval quality, relevance, groundedness, and answer completenessDiagnose weak RAG results and improve chunking, queries, metadata filtering, and retrieval settingsUnderstand when hybrid search and reranking can improve resultsBuild a simple question-and-answer interface for the completed assistantUpdate and reindex the knowledge base as your documents changeThis book emphasizes understanding over copying code. You will build simple versions first, inspect how they behave, identify their limitations, and improve them deliberately. The goal is to help you understand the reasoning behind RAG well enough to adapt the workflow to your own projects instead of depending on a single framework or tool.Whether you want to build an AI assistant for company documents, product manuals, policies, technical documentation, research material, course content, or another controlled knowledge source, the same foundational workflow applies.By the end of the book, you will understand how information moves from trusted documents to retrieval, context, and finally a grounded AI answer, and you will have built the complete workflow yourself.If you are comfortable with basic Python and want to move from experimenting with language models to building useful AI applications that can answer from real knowledge, this book gives you a clear place to start. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Paperback. Condizione: new. Paperback. Build intelligent AI agents, automate complex workflows, and create practical multi-agent applications with CrewAI-even if you are just getting started.Artificial intelligence is moving beyond simple chatbots. Modern AI agents can research information, use tools, make decisions, collaborate with other agents, and complete multi-step tasks with minimal supervision. However, building these systems can feel overwhelming when most tutorials assume advanced programming or AI experience.CrewAI Made Simple provides a clear, beginner-friendly path into agentic AI development. Through practical explanations, step-by-step examples, and realistic projects, you will learn how to use CrewAI and Python to design specialized agents, assign tasks, coordinate crews, connect external tools, and build reliable AI-powered workflows.Inside this book, you will learn how to: - Understand AI agents, multi-agent systems, and LLM-powered automation- Install Python, CrewAI, dependencies, and development tools correctly- Configure language models, API keys, and environment variables- Create agents with effective roles, goals, backstories, and responsibilities- Design tasks and pass information between workflow stages- Build and coordinate collaborative multi-agent crews- Connect search tools, APIs, databases, files, and external resources- Manage agent memory, context, reasoning, and decision-making- Develop practical research, content creation, and business-analysis systems- Debug common errors and test agent workflows effectively- Improve reliability, accuracy, performance, and output quality- Prepare CrewAI applications for deployment, maintenance, and scalingYou will also build practical projects such as an AI research assistant, an automated content creation workflow, a business analysis crew, and systems for handling repetitive knowledge work. The book progresses from foundational concepts to production-focused practices, including security, cost management, monitoring, testing, and optimization.Whether you are a beginner exploring AI development, a Python programmer interested in agentic AI, a business professional seeking smarter automation, or a developer building intelligent applications, this guide will help you understand not only how CrewAI works, but also how to use it effectively in real-world projects.Stop relying on isolated prompts. Start building organized teams of AI agents that can research, reason, collaborate, and complete meaningful work. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.