Knowledge Graph Mastery
DOWNLOAD
Download Knowledge Graph Mastery PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Knowledge Graph Mastery book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Knowledge Graph Mastery
DOWNLOAD
Author : Gilbert Huie
language : en
Publisher: Independently Published
Release Date : 2025-03-24
Knowledge Graph Mastery written by Gilbert Huie and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-24 with Computers categories.
Artificial intelligence is evolving-and so should the way we build it. In a world driven by data, intelligence comes not just from the volume of information, but from the connections we can make between concepts. Knowledge graphs are at the forefront of this evolution, powering smarter AI systems that understand, reason, and adapt. From enterprise search to recommendation engines, from fraud detection to AI assistants, knowledge graphs enable machines to move from pattern recognition to true contextual understanding. Knowledge Graph Mastery is the definitive guide for building intelligent, scalable AI systems grounded in structured, semantic knowledge. Whether you're a software developer, AI engineer, data scientist, architect, or researcher, this book equips you with the tools, concepts, and real-world examples you need to master the design and deployment of modern knowledge-driven applications. This comprehensive, practical book takes you from foundational principles to advanced graph reasoning techniques. You'll explore how to structure and interlink information, model domain-specific ontologies, query complex graphs efficiently, and integrate them with machine learning workflows. Inside, you'll learn how to: Understand graph theory and graph thinking as a foundation for AI Design semantic models using RDF, OWL, SHACL, and linked data principles Build and query scalable knowledge graphs using SPARQL, Cypher, and Gremlin Implement entity resolution, data enrichment, and graph-based ETL pipelines Apply graph reasoning, inference, and logic to build explainable AI systems Leverage knowledge graphs in real-world AI solutions-from chatbots and digital twins to recommendation systems, fraud detection, and multimodal reasoning Choose the right graph database technology for your use case (Neo4j, Amazon Neptune, ArangoDB, etc.) Integrate knowledge graphs with machine learning models using graph embeddings and hybrid AI techniques This book doesn't just teach you what knowledge graphs are-it shows you how to make them work in production environments, across sectors, at scale. Whether you're architecting intelligent search, powering enterprise knowledge hubs, or enabling human-like reasoning in machines, Knowledge Graph Mastery is your blueprint for designing AI that knows what it's doing. Don't just build AI that reacts-build AI that understands. Master knowledge graphs. Design smarter systems. Start now.
Mastering Neo4j Database
DOWNLOAD
Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date :
Mastering Neo4j Database written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unleash the Full Potential of Graph Databases with "Mastering Neo4j Database" In today's data-driven world, the ability to make sense of complex relationships within vast datasets is paramount. "Mastering Neo4j Database" is your comprehensive guide to mastering one of the most powerful graph databases available – Neo4j. Whether you're a seasoned data professional or a newcomer to the realm of graph technology, this book equips you with the knowledge and skills needed to harness the true capabilities of Neo4j. About the Book: "Mastering Neo4j Database" takes you on a journey through the intricacies of graph databases and Neo4j. From the foundational concepts of graph theory to advanced techniques in data modeling, querying, and optimization, this book covers it all. Each chapter is carefully crafted to provide both a deep understanding of the concepts and practical applications in real-world scenarios. Key Features: · Graph Database Fundamentals: Lay a solid foundation by exploring the core concepts of graph databases, graph theory, and how Neo4j revolutionizes data representation. · Data Modeling: Learn how to design effective graph data models that accurately reflect your domain's relationships, ensuring efficient data storage and retrieval. · Cypher Query Language: Master the powerful Cypher query language used in Neo4j to perform complex graph traversals, pattern matching, and data manipulation. · Performance Optimization: Discover strategies for optimizing query performance and database design, ensuring Neo4j scales seamlessly as your data grows. · Advanced Techniques: Dive into advanced topics such as graph algorithms, full-text search, and integrating Neo4j with other tools and frameworks. · Real-World Applications: Explore a range of real-world use cases across industries, from social networks and recommendation systems to fraud detection and knowledge graphs. · Graph Data Science: Learn how to leverage Neo4j's graph data science capabilities to gain insights, perform machine learning, and uncover hidden patterns. · Administration and Security: Understand the best practices for managing and securing your Neo4j databases, ensuring data integrity and user privacy. Who This Book Is For: "Mastering Neo4j Database" is designed for data architects, developers, database administrators, and anyone passionate about leveraging the power of graph databases. Whether you're new to the world of graphs or looking to deepen your expertise, this book provides the insights and tools to navigate the complexities of Neo4j. Why You Should Read This Book: In an age where connected data is the foundation of innovation, Neo4j stands as a leader in graph database technology. "Mastering Neo4j Database" empowers you to fully unlock its potential, enabling you to create more insightful applications, perform advanced analytics, and make data-driven decisions that were once out of reach. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Computer Science And Education
DOWNLOAD
Author : Wenxing Hong
language : en
Publisher: Springer Nature
Release Date : 2023-06-16
Computer Science And Education written by Wenxing Hong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-16 with Computers categories.
This three-volume set constitues selected papers presented during the 17th International Conference on Computer Science and Education, ICCSE 2022, held in Ningbo, China, in August 2022. The 168 full papers and 43 short papers presented were thoroughly reviewed and selected from the 510 submissions. They focus on a wide range of computer science topics, especially AI, data science, and engineering, and technology-based education, by addressing frontier technical and business issues essential to the applications of data science in both higher education and advancing e-Society.
Trends In Haptics And Virtual Reality
DOWNLOAD
Author : Mounîm A. El Yacoubi
language : en
Publisher: Springer Nature
Release Date : 2025-06-21
Trends In Haptics And Virtual Reality written by Mounîm A. El Yacoubi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-21 with Computers categories.
This book encompasses the collective wisdom and groundbreaking insights shared on 2024 2nd International Conference on Haptics and Virtual Reality (ICHVR 2024). It delves into the intricate field of Haptics and Virtual Reality, providing novel insights and profound discussions on its fundamental principles and application. It is tailored for researchers, engineers, and practitioners deeply involved in the field of Haptics and Virtual Reality. Comparing to last edition, this book mainly presents real-world examples of how Haptics and Virtual Reality technology is being used today.
Artificial Intelligence In Education
DOWNLOAD
Author : Alexandra I. Cristea
language : en
Publisher: Springer Nature
Release Date : 2025-08-21
Artificial Intelligence In Education written by Alexandra I. Cristea and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-21 with Computers categories.
This six-volume set LNAI 15877-15882 constitutes the refereed proceedings of the 26th International Conference on Artificial Intelligence in Education, AIED 2025, held in Palermo, Italy, during July 22–26, 2025. The 130 full papers and 129 short papers presented in this book were carefully reviewed and selected from 711 submissions. The conference program comprises seven thematic tracks: Track 1: AIED Architectures and Tools Track 2: Machine Learning and Generative AI: Emphasising datadriven Track 3: Learning, Teaching, and Pedagogy Track 4: Human-Centred Design and Design-Based Research Track 5: Teaching AI Track 6: Ethics, Equity, and AIED in Society Track 7: Theoretical Aspects of AIED and AI-Based Modelling for Education
Artificial Intelligence In Education
DOWNLOAD
Author : Seiji Isotani
language : en
Publisher: Springer
Release Date : 2019-06-20
Artificial Intelligence In Education written by Seiji Isotani and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-20 with Computers categories.
This two-volume set LNCS 11625 and 11626 constitutes the refereed proceedings of the 20th International Conference on Artificial Intelligence in Education, AIED 2019, held in Chicago, IL, USA, in June 2019. The 45 full papers presented together with 41 short, 10 doctoral consortium, 6 industry, and 10 workshop papers were carefully reviewed and selected from 177 submissions. AIED 2019 solicits empirical and theoretical papers particularly in the following lines of research and application: Intelligent and interactive technologies in an educational context; Modelling and representation; Models of teaching and learning; Learning contexts and informal learning; Evaluation; Innovative applications; Intelligent techniques to support disadvantaged schools and students, inequity and inequality in education.
Graph Machine Learning Mastery
DOWNLOAD
Author : Philip Oscar
language : en
Publisher: Independently Published
Release Date : 2025-12-17
Graph Machine Learning Mastery written by Philip Oscar and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-17 with Computers categories.
Graph Machine Learning Mastery A Complete Guide to Graph Neural Networks, Graph Transformers, Temporal GNNs, and LLM-Powered Graph AI with PyTorch Geometric & DGL Graph-structured data powers today's most advanced AI systems-from recommendation engines and fraud detection to drug discovery, cybersecurity, and large-scale knowledge graphs. Graph Machine Learning Mastery is the definitive, end-to-end guide for engineers, researchers, and data scientists who want to design, train, scale, and deploy production-ready graph AI systems using state-of-the-art techniques. This book goes far beyond theory. You'll master Graph Neural Networks (GNNs), Graph Transformers, Temporal & Dynamic Graph Models, and LLM-augmented Graph AI, all with hands-on implementations using industry-standard frameworks like and . What You'll Learn Build powerful GNN architectures: GCN, GAT, GraphSAGE, GIN, heterogeneous and large-scale GNNs Transition from GNNs to Graph Transformers with positional encodings and attention mechanisms Model temporal and dynamic graphs using TGN, TGAT, DySAT, and continuous-time message passing Design LLM + GNN hybrid systems for reasoning, knowledge graphs, and GraphRAG pipelines Apply graph ML to real-world domains: fraud detection, recommender systems, molecular graphs, finance, telecom, and cybersecurity Train, optimize, monitor, and deploy graph models in production environments Integrate GNNs with graph databases, MLOps pipelines, and scalable inference system. Hands-On, End-to-End Projects You'll implement complete production-grade projects including: Node classification, graph classification, and link prediction Temporal graph forecasting Molecular property prediction with OGB benchmarks Graph-augmented LLM systems for intelligent reasoning and recommendation. Each project walks you through data preprocessing, model architecture, training, evaluation, deployment, and monitoring-so you don't just learn concepts, you build real systems. Who This Book Is For Data scientists and ML engineers expanding into graph-based AI AI researchers exploring next-generation GNN and Transformer architectures Backend and platform engineers deploying graph intelligence at scale Professionals working with knowledge graphs, recommendation systems, and complex networks A working knowledge of Python and basic machine learning is recommended. Why This Book Stands Out Unlike fragmented tutorials or outdated references, Graph Machine Learning Mastery delivers a modern, unified, and production-focused roadmap-from classical graph learning to cutting-edge LLM-powered Graph AI. With deep technical insight, real-world case studies, and extensive appendices packed with APIs, cheat sheets, troubleshooting guides, and learning paths, this book is designed to become your long-term reference and career accelerator. If you're serious about mastering Graph Machine Learning, Graph Transformers, Temporal GNNs, and LLM-driven AI systems, this is the book you've been waiting for.
Elementary Mathematics Course Of Study And Teacher S Handbook Grades Five To Eight
DOWNLOAD
Author : Indiana. Department of Public Instruction. Division of Inspection
language : en
Publisher:
Release Date : 1936
Elementary Mathematics Course Of Study And Teacher S Handbook Grades Five To Eight written by Indiana. Department of Public Instruction. Division of Inspection and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1936 with Education categories.
Ieee International Conference On Advanced Learning Technologies
DOWNLOAD
Author : IEEE Computer Society
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 2001
Ieee International Conference On Advanced Learning Technologies written by IEEE Computer Society and has been published by Institute of Electrical & Electronics Engineers(IEEE) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Business & Economics categories.
Focusing on computational intelligence, this text covers topics on architecture of learning technology systems; advanced uses of multimedia and hypermedia; integrated learning environments; application of AI tools in learning technology; and virtual reality.
Google Knowledge Panel Mastery
DOWNLOAD
Author : Nasim, MD
language : en
Publisher:
Release Date : 2021-05-30
Google Knowledge Panel Mastery written by Nasim, MD and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-30 with categories.
The feature will ask users whose questions are vague, indicate to indicate more clearly what they asked. For example, a user searching for "King" may be asked to choose between a television show, the Sacramento Kings basketball team or the Los Angeles Kings hockey team. When the user selects the relevant meaning for his query, the search page will delete results related to other meanings. The results of the Knowledge Graph are primarily limited to American English.