marcus lauritsen (88 resultados)

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Taschenbuch. Condición: Neu. Neuware - What Makes This Book Different.

Taschenbuch. Condición: Neu. Neuware - Unlock the World of Python Web Development-No Experience Required!

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Taschenbuch. Condición: Neu. Neuware - Unlock the Power of Artificial Intelligence-Even If You're Starting from Scratch.

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

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Paperback. Condición: new. Paperback. Unlock the Power of Multi-Agent Reinforcement Learning-No Experience Required!Do you ever look at advanced AI, robotics, or machine learning and wonder, "Could I ever understand this?" Maybe you've felt overwhelmed by complex code, technical jargon, or the sheer speed at which technology is advancing. You're not alone-and this book was written just for you.Advanced Multi-Agent Reinforcement Learning: Cutting-Edge Techniques, Coordination, and Optimization is your supportive, step-by-step guide to one of the most exciting frontiers in artificial intelligence. Designed for absolute beginners, this book gently demystifies multi-agent systems and deep reinforcement learning, showing you how teams of intelligent agents learn, adapt, and cooperate-one clear concept at a time.No math PhD, coding background, or prior AI experience needed. Every chapter breaks down key ideas with warmth and encouragement, celebrating progress and making learning a truly enjoyable journey. You'll move from simple Python code to understanding real-world robotics, smart automation, and advanced AI algorithms-all at your own pace.Inside, you'll discover: Friendly explanations of multi-agent reinforcement learning (MARL), deep RL, and distributed AI-perfect for curious beginners.Hands-on projects and real-world examples with clear, annotated Python code you can run, tweak, and learn from-no setup headaches.Practical skills for building, testing, and understanding intelligent agents in simulations, robotics, and collaborative AI.Step-by-step guidance that nurtures your confidence, normalizes mistakes, and celebrates small victories at every stage.Expert tips on troubleshooting, benchmarking, and applying your knowledge to real challenges-plus advice on where to go next.Supportive encouragement throughout, making even the toughest concepts feel manageable and fun.What makes this book unique?Written with empathy for newcomers-every term is explained, every code sample is walk-through-friendly.Focuses on real understanding, not just copying code or memorizing formulas.Covers the latest tools and frameworks (PettingZoo, RLlib), ensuring your skills are practical and up to date.Includes personal insights and stories to remind you: every AI expert started with the basics, just like you.You'll learn how to: Design intelligent agent teams using multi-agent reinforcement learning.Apply value decomposition and centralized training techniques for smarter coordination.Benchmark, evaluate, and troubleshoot your own AI experiments with confidence.See how MARL is changing robotics, automation, and the future of technology.No prior coding or AI experience required-just a willingness to explore, experiment, and enjoy the process.If you're ready to stop feeling intimidated by AI and start building real skills, this is your moment. Let Advanced Multi-Agent Reinforcement Learning be your trusted guide and companion. Start your journey today-and celebrate every step forward in the world of intelligent, collaborative technology!Take the first step now! Your future in AI starts right here, one encouraging page 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. Condición: new. Paperback. Unlock the World of Generative AI-No Experience Required!Have you ever felt overwhelmed by the idea of artificial intelligence? Do words like "machine learning," "diffusion models," or "PyTorch" sound intimidating, even though you're curious about how AI art and creative coding really work?You're not alone-and you're exactly who this book is for.Mastering Generative AI with Stable Diffusion, Hugging Face, and PyTorch is your friendly, step-by-step guide to one of today's most exciting technologies. This book welcomes complete beginners, hobbyists, and anyone eager to explore the creative power of AI, regardless of your technical background.What Makes This Book Different?Start from Zero: No prior coding or AI experience? No problem. Every concept is explained in plain English with a gentle pace and practical examples.Hands-On Projects: Go beyond theory with real projects using the world's top open-source tools-Stable Diffusion, Hugging Face, and PyTorch-so you can see, build, and share your own AI-powered art and ideas.Step-by-Step Confidence: Each chapter celebrates your progress, breaks down complex ideas, and helps you overcome obstacles-because every mistake is a win, and every small step counts.Beginner-Friendly, Yet Complete: Designed to grow with you, this book covers everything from the basics of generative AI and prompt engineering to fine-tuning models and launching your own creative applications.Real-World Creativity: Learn how AI is transforming art, design, business, and more-and discover practical ways you can join this revolution, even as a newcomer.Key Skills & Benefits You'll Gain: Understand what generative AI is and how it works, in a simple, relatable wayBuild your own AI image generator, step by step, with no prior experienceExperiment with prompts and create unique AI art and visualsGain confidence using Python, PyTorch, and Hugging Face-today's most in-demand AI toolsDiscover tips, tricks, and best practices for troubleshooting, creativity, and ethical AI useFind encouragement and motivation at every stage of your learning journeyPerfect For: Complete beginners to AI, coding, or technologyArtists, students, and lifelong learners curious about creative AIAnyone who wants to explore new tech skills in a supportive, friendly wayReady to Turn Curiosity Into Creative Power?Whether you want to make stunning AI art, boost your career skills, or simply satisfy your curiosity, Mastering Generative AI with Stable Diffusion, Hugging Face, and PyTorch is the perfect companion to unlock your potential.Open the first page and start your empowering, enjoyable journey into generative AI today! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. Deep Reinforcement Learning for Multi-Agent Systems: From Fundamentals to Advanced Cooperative AlgorithmsAre you fascinated by artificial intelligence but feel overwhelmed by complex jargon, daunting math, or the fear that "real" AI is only for experts? You're not alone-and this book was written just for you.Discover the world of Deep Reinforcement Learning and Multi-Agent Systems-step by gentle step.This hands-on guide welcomes absolute beginners and curious learners with zero technical background. No prior coding or math skills required. If you've ever wondered how intelligent agents can learn to cooperate, compete, or solve real-world problems, you'll find all the answers here, explained in clear, friendly language.What makes this book different?Beginner-Friendly: Every concept is broken down into plain English, with relatable examples and practical analogies.Step-by-Step Coding: Learn by doing with easy-to-follow projects and coding exercises in Python and PyTorch, even if you've never programmed before.Real-World Applications: Explore how reinforcement learning powers game AI, robotics, smart automation, recommendation systems, and more.Supportive, Encouraging Tone: Progress at your own pace, celebrate small wins, and never feel lost-every chapter is designed to build your confidence.Mistakes are Welcome: This book normalizes frustration, treats mistakes as learning opportunities, and shows you how to troubleshoot and overcome common hurdles.Inside, you'll discover: The basics of reinforcement learning and why it's different from traditional machine learningHow multi-agent systems work, from simple cooperation to advanced strategiesPractical coding examples and hands-on projects, with step-by-step guidanceDeep learning fundamentals and how neural networks can power intelligent decision-makingTips for experiment tracking, debugging, and making your projects reproducibleThe latest techniques in scaling, transferring, and safely deploying multi-agent AIKey Takeaways: Build a strong foundation in AI, deep learning, and multi-agent reinforcement learning-even if you're starting from scratch.Learn how to write, test, and expand your own intelligent agent code, with real projects you can be proud of.Gain the skills, confidence, and curiosity to continue your journey in artificial intelligence, robotics, and beyond.Don't let intimidation stop you-let encouragement, clarity, and hands-on practice unlock your potential.If you're ready to turn curiosity into real coding skills, this book will be your trusted, supportive companion every step of the way. Embrace the challenge, celebrate your progress, and start building the intelligent systems of tomorrow-one small win at a time.Take the first step on your AI adventure today. Your journey begins now! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. Unlock the Power of Artificial Intelligence-No Experience Needed!Are you fascinated by the idea of intelligent agents-robots, self-driving cars, or virtual teammates-learning to cooperate, compete, and adapt in the real world? Do you want to build practical AI projects but feel intimidated by technical jargon or a lack of experience? If so, Practical Multi-Agent Reinforcement Learning: Hands-On Implementation with Python and Open-Source Tools is the perfect companion for your learning journey.Step Into Multi-Agent AI-One Small Win at a TimeThis book is designed especially for beginners and self-learners who want to master the foundations of multi-agent reinforcement learning (MARL) without prior coding or math expertise. From the very first page, you'll feel supported, encouraged, and empowered to explore one of the most exciting frontiers in artificial intelligence.Friendly, step-by-step guidance: Each chapter builds your confidence with approachable explanations and gentle introductions to core ideas-no complex formulas or intimidating theory.Practical, real-world projects: You'll create working Python programs using PettingZoo, Ray RLlib, and Stable Baselines3-open-source tools used in cutting-edge AI research and industry.Celebrate progress: Every bug fixed, script run, and concept mastered is treated as a victory. Mistakes are normalized, and each small breakthrough is a reason to keep going.No prior experience required: Whether you're a student, hobbyist, or tech-curious newcomer, all you need is curiosity and a willingness to learn.Hands-on, code-first approach: Build your own environments, design agent interactions, experiment with classic and deep learning algorithms, and analyze your results-at your own pace.What You'll Gain Inside: A gentle but thorough introduction to the key ideas of multi-agent RLClear, jargon-free explanations of agents, environments, rewards, and learning cyclesProject-based tutorials using Python and leading open-source librariesStep-by-step setup for your development environment-no headaches, just resultsTips for debugging, troubleshooting, and scaling your projects to real-world complexityReal-world examples, case studies, and personal insights from a fellow learnerGuidance on responsible, ethical AI and pointers for advanced explorationTake Your First Confident Step Into the World of Multi-Agent AIDon't let fear or self-doubt hold you back from mastering one of today's most sought-after AI skills. With this book as your supportive guide, you'll move from curious beginner to capable MARL practitioner, building practical projects and unlocking your creative potential along the way.Ready to start building intelligent agents and real AI systems-one clear, supportive step at a time? Grab your copy and let's begin your journey into multi-agent reinforcement learning today! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. Are you fascinated by artificial intelligence, but worried that complex jargon and advanced math will hold you back? You're not alone-and you don't need any prior technical experience to start your journey with Multi-Agent Reinforcement Learning (MARL).Unlock the World of Collaborative AI-Step by StepFoundations of Multi-Agent Reinforcement Learning is your friendly, confidence-building companion for understanding the fast-growing field where teams of intelligent agents learn, adapt, and collaborate to solve real-world problems. Whether you're a curious newcomer, a student, or an aspiring developer, this book guides you from zero experience to real hands-on skill-one practical step at a time.Inside, you'll discover: A beginner-friendly, jargon-free introduction to reinforcement learning and agent-based systems-explained in plain English, with personal insights and stories to keep you motivated.Real-world examples and coding exercises that let you "learn by doing"-including hands-on Python projects using the popular PettingZoo toolkit, so you can build your own smart agents from scratch.Clear explanations of key concepts such as cooperation, competition, communication, and emergent behaviors-brought to life with visualizations and practical scenarios from robotics, gaming, smart grids, and more.A supportive, encouraging approach that normalizes mistakes, celebrates small wins, and helps you overcome common challenges-so you never feel lost or alone.Step-by-step walkthroughs and troubleshooting tips for everything from setting up your environment to evaluating agent performance and interpreting results.Key takeaways you'll gain from this book: Build a strong foundation in multi-agent reinforcement learning-even if you're starting as a complete beginner.Understand the difference between single-agent and multi-agent systems, and why MARL is the key to solving complex, dynamic problems.Gain practical coding skills and experiment with real MARL environments using Python, with easy-to-follow examples and reusable templates.Learn how to benchmark, debug, and improve your agents for real-world impact.Join a supportive, fast-growing community of AI learners and developers.Break through the intimidation barrier-your journey into collaborative artificial intelligence starts here. With a warm, step-by-step teaching style and encouragement at every stage, this book is your perfect guide to mastering multi-agent reinforcement learning.Ready to dive in? Start building your skills, unlock new possibilities, and join the next generation of AI innovators-one small step at a time. Grab your copy today and let's learn 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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Condición: New. Print on Demand.