james acklin (152 résultats)

Hardcover. Etat : Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.

Etat : As New. Used book that is in almost brand-new condition.

Etat : Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.

hardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

Hardcover. Etat : Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.35.

Hardcover. Etat : Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 0.35.

Etat : Good. 1st paperback edition. Very good condition paperback with minimal wear. Contents are clean and bright throughout with no markings. Small area of damage to upper spine.

Etat : Very Good. Ships SAME or NEXT business day. We Ship to APO/FPO addr. Choose EXPEDITED shipping and receive in 2-5 business days within the United States. See our member profile for customer support contact info. We have an easy return policy.

Hardcover. Etat : Very Good. Etat de la jaquette : Good. Not as pictured. Dustjacket has some rubbing on front and back cover, tiny light brown stain on back cover, light wear to edges, otherwise is clean and bright, will be protected by mylar. Book has inscription on endpaper, faint rubbing on back cover, a couple pages that have been folded at the corners. otherwise in great condition, bright pages, good binding, sturdy covers, overall a very nice and crisp copy that is close to new.

Etat : New.

Paperback. Etat : new. Paperback. Knowledge Graph Basics: Understanding, Designing, and Implementing Graph-Based SystemsThis book provides a comprehensive guide to understanding, designing, and implementing knowledge graphs-a revolutionary approach to organizing and analyzing complex, interconnected data. Whether you are a beginner looking to explore the potential of knowledge graphs or an experienced developer aiming to refine your skills, this book serves as your definitive resource for mastering graph-based systems.Starting with foundational concepts, the book introduces the core principles of knowledge graphs, their history, and why they have become indispensable in today's data-driven world. It then delves into the essential components, including graph modeling, ontology design, and the use of standards like RDF, OWL, and SPARQL, offering a solid framework for building scalable and meaningful graph-based systems.With a strong emphasis on practical implementation, readers will benefit from step-by-step guides, real-world examples, and authentic, working code in Python and Neo4j. Learn how to design ontologies, integrate and clean data, construct graphs, and query them efficiently. The book also explores advanced topics such as scalability, optimization, and the integration of knowledge graphs with artificial intelligence to enable explainable AI, graph embeddings, and machine learning applications.Discover how knowledge graphs are transforming industries like healthcare, finance, e-commerce, and education, with case studies that illustrate their real-world applications. From enhancing search engines and recommendation systems to enabling fraud detection and personalized experiences, this book showcases the transformative potential of graph-based systems.The book also addresses common challenges in knowledge graph design, such as data integration complexity, scalability, query performance, and maintaining consistency in dynamic graphs. It offers actionable best practices and tips for building robust, efficient, and scalable knowledge graphs.Whether you're a developer, data scientist, researcher, or decision-maker, Knowledge Graph Basics: Understanding, Designing, and Implementing Graph-Based Systems equips you with the tools, knowledge, and confidence to create impactful graph-based solutions. With a blend of technical depth and approachable explanations, this book is your gateway to unlocking the power of knowledge graphs in solving complex, real-world problems Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : new. Paperback. Artificial intelligence is transforming industries, redefining how businesses operate, and reshaping the way humans interact with technology. At the forefront of this revolution is DeepSeek v3, a cutting-edge AI model designed to push the boundaries of natural language processing, reasoning, and automation. Whether you're a developer, researcher, entrepreneur, or AI enthusiast, understanding how to harness the full capabilities of DeepSeek v3 is essential for staying ahead in the AI-driven world.What You'll Discover in This Book: The Core Architecture of DeepSeek v3 - Understand how this AI model processes language, generates intelligent responses, and adapts to complex tasks.Advanced AI Features and Capabilities - Explore its ability to assist in code generation, problem-solving, and decision-making.Industry Applications - Learn how DeepSeek v3 is revolutionizing healthcare, finance, education, marketing, and beyond.Customization and Fine-Tuning - Discover how to train AI models for specialized domains and optimize outputs for real-world applications.Ethical Considerations and Challenges - Address bias, misinformation, security risks, and responsible AI use.The Future of AI and DeepSeek v3 - Stay ahead by understanding upcoming AI advancements and how they will shape industries.Why This Book is Essential for AI Enthusiasts and Professionals: Comprehensive Yet Accessible - Written in a clear, engaging style that makes complex AI concepts easy to grasp, whether you're a beginner or an experienced developer.Practical Insights and Real-World Applications - Includes examples, exercises, and industry case studies to help you apply AI knowledge effectively.Future-Proof Your Skills - Gain practical strategies for integrating AI into your work, staying competitive, and adapting to the rapidly evolving AI landscape.DeepSeek v3 is more than just another AI model-it's a game-changer in how AI understands, generates, and interacts with information. Whether you're looking to optimize workflows, build AI-powered solutions, or stay ahead in the tech industry, this book is your definitive guide to mastering DeepSeek v3.Are you ready to unlock the full potential of AI? Get your copy now and start shaping the future with DeepSeek v3! Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Etat : new. Paperback. In today's data-driven world, efficient retrieval and processing of information are critical for building intelligent search systems, recommendation engines, and scalable data pipelines. The Retrieval Edge: A Complete Guide to Optimizing Data Pipelines with Tokenization and Vector Techniques is your essential resource for mastering the modern techniques that power AI-driven retrieval systems, semantic search, and real-time analytics.This book is designed for data engineers, machine learning practitioners, software architects, and AI researchers looking to enhance their knowledge and build cutting-edge, high-performance data systems. Whether you're optimizing enterprise search engines, developing machine learning-powered recommendations, or working on scalable vector-based retrieval, this book provides an end-to-end guide to implementing efficient, flexible, and scalable data pipelines.What You Will LearnData Pipeline Fundamentals: Understand the architecture, challenges, and optimizations required to design robust data workflows.Tokenization Mastery: Explore traditional and advanced tokenization methods like Byte Pair Encoding (BPE), WordPiece, and SentencePiece, and learn how they improve text processing.Vector Representations and Embeddings: Master techniques from TF-IDF to Word2Vec, BERT, and Dense Passage Retrieval (DPR) to build semantic-aware retrieval systems.Advanced Retrieval Architectures: Learn how to integrate keyword-based search (BM25) with deep learning models to build hybrid retrieval systems that deliver faster, more accurate results.Building Real-World Pipelines: Gain hands-on experience using Apache Kafka, Apache Airflow, FAISS, and Hugging Face Transformers to build production-ready data pipelines.Scalability and Performance Optimization: Implement distributed processing, caching strategies, and real-time data handling to ensure efficiency at any scale.Security, Privacy, and Ethical AI: Learn best practices to mitigate bias in tokenization, protect user data, and ensure compliance with ethical AI principles.Data is growing at an unprecedented rate, and organizations need fast, scalable, and intelligent retrieval systems to make sense of it all. Whether you're building a next-generation search engine, a recommendation system, or a real-time analytics pipeline, this book gives you the tools, techniques, and industry-leading frameworks to do it right.Don't just process data-retrieve insights. Optimize, scale, and innovate. Get your copy of The Retrieval Edge today and unlock the full potential of modern data pipelines! Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Etat : New.

Paperback. Etat : New.

Etat : New. SUPER FAST SHIPPING.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : New. SUPER FAST SHIPPING.

Etat : New. SUPER FAST SHIPPING.

Hardcover. Etat : New. First Edition. PHOTO AND VIDEO OF PAGES TAKEN TO SHOW CONDITION PRIOR TO SHIPPING; PHOTOS EMAILED FOR MORE SPECIFICS WHEN REQUESTED; Book.

Paperback. Etat : new. Paperback. Artificial Intelligence is evolving at an unprecedented pace, and intelligent agents are at the heart of this transformation. From automating workflows to orchestrating multi-agent collaboration, the future of AI depends on systems that can think, learn, and act autonomously. LangGraph is the key to unlocking this future.In LangGraph Unlocked, you will embark on a comprehensive journey through the fundamentals, design principles, and advanced implementations of intelligent agents and multi-agent systems. Whether you're an AI engineer, data scientist, software developer, or researcher, this book will equip you with the knowledge and hands-on skills to build scalable, adaptive, and intelligent AI-driven workflows.What You'll Learn Inside This Book: Understanding Intelligent Agents - Master the different types of agents (reactive, goal-driven, utility-based, and learning agents) and their role in AI automation.Graph-Based AI Workflows - Learn how LangGraph models relationships, optimizes decision-making, and automates multi-step AI processes.Designing Multi-Agent Systems - Discover how to create collaborative, autonomous, and scalable agent architectures.Integrating Machine Learning & NLP - Enhance your agents with LLMs (Large Language Models), reinforcement learning, and AI reasoning.Workflow Automation & Optimization - Build dynamic, real-time AI workflows that streamline complex operations.Real-World Applications - Explore case studies in finance, healthcare, logistics, customer service, and smart automation.Scaling AI Systems - Learn best practices for deploying, optimizing, and managing large-scale LangGraph-powered workflowsWho Should Read This Book?AI Engineers & Developers looking to build powerful AI-driven automation systemsData Scientists interested in graph-based AI architectures.Software Architects designing multi-agent systems for complex workflows.Researchers exploring next-gen AI and intelligent automation.Whether you're a beginner exploring AI agents or an expert optimizing large-scale intelligent systems, this book provides theory, code, and real-world applications to help you master LangGraph and intelligent agent workflows.LangGraph is a cutting-edge framework revolutionizing how AI processes, automates, and scales decision-making. With practical examples, hands-on tutorials, and deep insights, this book gives you the competitive edge in the world of AI workflow automation.The next generation of AI systems will be powered by intelligent agents and graph-based automation. With LangGraph, you have the tools to build AI-driven workflows that are more powerful, efficient, and scalable than ever before.Are you ready to unlock the future of AI? Get your copy today and start building the next generation of intelligent multi-agent systems! Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Etat : new. Paperback. AutoGen Mastery: Crafting Multi-Agent Systems to Revolutionize Automation and Collaboration is an essential guide for anyone interested in the world of multi-agent systems (MAS). This book demystifies the powerful technologies behind MAS, where intelligent agents collaborate, communicate, and learn from each other to solve complex problems in dynamic, real-world environments. Whether you're a seasoned developer, a student eager to explore cutting-edge AI concepts, or a business leader looking to leverage automation for strategic advantage, this book will equip you with the tools and insights to unlock the full potential of MAS.Through easy-to-understand explanations, practical code examples, and real-world use cases, you'll gain an in-depth understanding of how multi-agent systems function, how to design them, and how to implement them in diverse industries-from healthcare and finance to autonomous systems and smart cities. Each chapter builds your knowledge progressively, taking you from the basics of agent behaviors to advanced topics like reinforcement learning, communication protocols, and secure, decentralized coordination.Key features of the book include: A comprehensive introduction to the foundational concepts of MAS.Step-by-step tutorials that guide you through building your first MAS, from simple task allocation systems to decentralized resource-sharing models.A deep dive into the architecture, design principles, and the latest technologies that are shaping the future of MAS.Best practices for avoiding common pitfalls in MAS design, ensuring scalability, robustness, and security.Practical insights into the future of MAS, where AI, blockchain, and quantum computing will play pivotal roles in revolutionizing industries worldwide.This book not only teaches you the theory but also empowers you to put it into practice, giving you the hands-on skills you need to build intelligent, autonomous systems that can think, adapt, and collaborate like never before. With each chapter, you'll unlock the true potential of MAS, helping you solve today's complex challenges and shape tomorrow's innovations.The future is automated, interconnected, and intelligent. Now is the time to master the technologies that will shape it. By learning the principles of multi-agent systems, you are positioning yourself at the forefront of the next wave of technological innovation. Whether you want to optimize business operations, design cutting-edge AI systems, or revolutionize industries with smarter, more efficient solutions, this book will provide you with the knowledge, tools, and confidence to make it happen.Grab your copy of "AutoGen Mastery" and start building the intelligent systems of tomorrow, today. The future of automation and collaboration is in your hands-let's create it together! Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Etat : New. SUPER FAST SHIPPING.

Etat : New. SUPER FAST SHIPPING.

Etat : New. SUPER FAST SHIPPING.