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Zustand: As New. Unread book in perfect condition.

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Paperback. Zustand: new. Paperback. Mastering Multi-Agent Systems in Python: AI, Automation, and CoordinationOverviewArtificial Intelligence is no longer about standalone models-it's about intelligent systems that collaborate, compete, and adapt. Mastering Multi-Agent Systems in Python: AI, Automation, and Coordination is your complete guide to understanding, designing, and deploying multi-agent systems (MAS) using Python. Whether you're working with autonomous robots, financial markets, traffic simulations, or AI-powered automation, this book provides a hands-on, practical approach to building AI-driven agents that work together efficiently.By the end of this book, you'll have the knowledge and skills to create scalable, intelligent, and cooperative AI systems that can adapt and optimize in real-world environments.This book explores the core principles, techniques, and real-world applications of MAS, guiding you through the entire development process. You'll start with foundational concepts, such as agent types, architectures, and communication strategies. Then, you'll move into advanced topics, including reinforcement learning, swarm intelligence, game theory, and distributed computing. Each chapter includes practical Python examples that you can implement and experiment with right away.From designing efficient coordination strategies to deploying large-scale AI agents in the cloud, this book ensures you understand both the theoretical foundations and the hands-on implementations of MAS.Key Features of This BookComprehensive Guide to MAS - Covers everything from basic agent design to advanced decision-making and optimization techniques.Hands-On Implementation - Includes fully functional Python code examples to help you build, test, and deploy MAS efficiently.Real-World Applications - Explore MAS in robotics, finance, transportation, healthcare, and smart cities.Scalability and Performance Optimization - Learn how to debug, test, and optimize MAS for large-scale applications.Ethical and Security Considerations - Understand the challenges of deploying autonomous multi-agent systems responsibly.This book is perfect for: AI and Machine Learning Engineers looking to integrate multi-agent systems into their projects.Software Developers and Data Scientists interested in automation, intelligent agents, and distributed computing.Researchers and Academics working on reinforcement learning, game theory, and autonomous systems.Anyone curious about the future of AI-driven coordination and collaboration.Ready to take your AI expertise to the next level? Mastering Multi-Agent Systems in Python equips you with the knowledge, tools, and hands-on experience to build AI systems that can collaborate, adapt, and optimize in real-world environments. Get your copy today and start mastering the future of multi-agent intelligence! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Zustand: New.

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

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

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

Paperback. Zustand: new. Paperback. Mastering Multi-Agent Systems in Python: AI, Automation, and CoordinationOverviewArtificial Intelligence is no longer about standalone models-it's about intelligent systems that collaborate, compete, and adapt. Mastering Multi-Agent Systems in Python: AI, Automation, and Coordination is your complete guide to understanding, designing, and deploying multi-agent systems (MAS) using Python. Whether you're working with autonomous robots, financial markets, traffic simulations, or AI-powered automation, this book provides a hands-on, practical approach to building AI-driven agents that work together efficiently.By the end of this book, you'll have the knowledge and skills to create scalable, intelligent, and cooperative AI systems that can adapt and optimize in real-world environments.This book explores the core principles, techniques, and real-world applications of MAS, guiding you through the entire development process. You'll start with foundational concepts, such as agent types, architectures, and communication strategies. Then, you'll move into advanced topics, including reinforcement learning, swarm intelligence, game theory, and distributed computing. Each chapter includes practical Python examples that you can implement and experiment with right away.From designing efficient coordination strategies to deploying large-scale AI agents in the cloud, this book ensures you understand both the theoretical foundations and the hands-on implementations of MAS.Key Features of This BookComprehensive Guide to MAS - Covers everything from basic agent design to advanced decision-making and optimization techniques.Hands-On Implementation - Includes fully functional Python code examples to help you build, test, and deploy MAS efficiently.Real-World Applications - Explore MAS in robotics, finance, transportation, healthcare, and smart cities.Scalability and Performance Optimization - Learn how to debug, test, and optimize MAS for large-scale applications.Ethical and Security Considerations - Understand the challenges of deploying autonomous multi-agent systems responsibly.This book is perfect for: AI and Machine Learning Engineers looking to integrate multi-agent systems into their projects.Software Developers and Data Scientists interested in automation, intelligent agents, and distributed computing.Researchers and Academics working on reinforcement learning, game theory, and autonomous systems.Anyone curious about the future of AI-driven coordination and collaboration.Ready to take your AI expertise to the next level? Mastering Multi-Agent Systems in Python equips you with the knowledge, tools, and hands-on experience to build AI systems that can collaborate, adapt, and optimize in real-world environments. Get your copy today and start mastering the future of multi-agent intelligence! This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. Natural Language Processing with Python: Build Real-World NLP Applications Using NLTK, spaCy, and Transformers This hands-on guide takes you on a practical journey into the world of Natural Language Processing (NLP) using Python. Whether you're a beginner or looking to enhance your skills, this book equips you with the tools and techniques to build real-world NLP applications using the most popular libraries: NLTK, spaCy, and Hugging Face Transformers. From foundational text processing to cutting-edge deep learning models, you'll learn how to preprocess, analyze, and understand text in meaningful ways.Covering everything from tokenization and named entity recognition to fine-tuning transformer models like BERT and GPT, the book blends theory with real implementation. You'll work through complete projects such as text classification, sentiment analysis, question answering, and language generation making it easy to apply what you learn directly to real use cases.Natural Language Processing with Python bridges the gap between theory and practice by guiding readers through essential NLP workflows using three powerful libraries. You'll master the basics with NLTK, streamline processes with spaCy, and tap into state-of-the-art AI using Hugging Face Transformers. The book is structured to build your confidence from the ground up starting with core preprocessing tasks and culminating in the deployment of modern NLP applications. Key Features of This Book: Step-by-step tutorials for practical NLP tasks using real datasetsIn-depth exploration of NLTK, spaCy, and TransformersFull projects on text classification, summarization, and moreClear explanations with annotated code examplesGuidance on deploying NLP models with FastAPI or FlaskBest practices for evaluating model performance and mitigating biasThis book is ideal for Python developers, data scientists, machine learning enthusiasts, and students who want to learn NLP through hands-on projects. No prior experience with NLP is required, but a basic understanding of Python will help you get the most out of the book. Ready to unlock the power of language with code? Natural Language Processing with Python gives you the skills and confidence to build your own NLP applications from scratch. Start your NLP journey today and turn messy text into smart insights! This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. Mastering MCP Server: Build, Deploy, and Scale Modular Control Plane Systems Modular Control Plane (MCP) systems are transforming how developers architect modern, intelligent software. Mastering MCP Server is your hands-on, practical guide to building scalable, resilient, and modular control plane systems that orchestrate decision logic across cloud, edge, and AI-powered infrastructure. Whether you're designing a SaaS backend, coordinating IoT devices, or managing a complex event-driven application, this book walks you through every stage of building, deploying, and scaling MCP servers.Inside, you'll learn how to implement modular control units, build tenant-aware configurations, design event-driven workflows, and integrate real-time capabilities with tools like Kafka, Redis Streams, and NATS. The book combines deep architectural insights with code-rich, step-by-step examples to help you master both the "why" and the "how" of modern control plane engineering.This book provides developers, architects, and DevOps engineers with a complete roadmap to mastering Modular Control Plane (MCP) systems. You'll start with core concepts, design control modules, and gradually move into real-world architectures that support SaaS control systems, edge-aware IoT, and real-time games. It covers topics like authentication, secret management, multi-cloud deployments, observability, and continuous evolution of MCP-based systems. If you're looking to build systems that are adaptive, scalable, and future-ready, this guide is for you. Key Features of This BookFull-stack guide to building and deploying MCP server systemsClear architecture patterns for modular decision-making and orchestrationIn-depth examples using Python, Kafka, NATS, Redis Streams, and moreCovers real-world applications like SaaS, IoT orchestration, and gaming backendsStrategies for testing, securing, and evolving distributed MCP systemsBlueprint for implementing multi-cloud and edge-to-core synchronizationAppendices with tools, debugging tips, and reference architecturesThis book is written for backend developers, software architects, cloud engineers, and system designers who want to create more modular, maintainable, and scalable systems. If you're working with microservices, AI pipelines, IoT devices, or cloud-native applications, this book will give you a new way to structure and control your system logic. Ready to take control of your architecture? Mastering MCP Server gives you the practical tools and expert strategies to build control planes that scale with confidence. Start building smarter systems today grab your copy now and master the future of modular software. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.