9798266702080 - neo4j for data scientists and analysts: analyze relationships in large datasets to gain insights faster de corbyn, ansel (4 resultados)
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 21,71
Envío por EUR 4,88Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 21,65
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Print on Demand.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 23,98
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Unlock the hidden power of connected data with Neo4j and transform the way you analyze relationships in large datasets. Traditional databases struggle to reveal insights hidden in complex networks of transactions, patients, supply chains, or customers. Neo4j for Data Scientists and Analysts…shows you how to model, query, and scale graph databases to uncover patterns that SQL often misses. This book bridges the gap between theory and practice, guiding you step by step through real-world applications in finance, healthcare, retail, and manufacturing. Whether you are building fraud detection pipelines, recommendation engines, or knowledge graphs, this guide equips you with the tools to deliver faster and smarter results. What you will learn: Design effective graph data models using nodes, relationships, and propertiesQuery large datasets with Cypher and optimize performance for billions of relationshipsApply graph algorithms for fraud detection, recommendations, and network analysisIntegrate Neo4j with Python, Apache Spark, and Kafka for scalable analyticsBuild graph embeddings and neural networks for machine learning applicationsVisualize and interpret knowledge graphs for actionable business insightsPractical add-ons in every chapter: Key Takeaways that summarize core lessonsApplication Tips to put concepts into practice immediatelyCommon Mistakes to avoid costly pitfallsQuick Quiz flashcards for self-testing and active recallCode you can use right away: From Cypher queries to Python scripts, every chapter includes working examples that help you move from learning to doing. You will practice with hands-on projects across industries, reinforcing your skills through real-world scenarios. Master the graph mindset and gain a competitive edge in data science. Grab your copy today and start analyzing relationships at scale with Neo4j. 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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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 25,38
Envío por EUR 43,44Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Unlock the hidden power of connected data with Neo4j and transform the way you analyze relationships in large datasets. Traditional databases struggle to reveal insights hidden in complex networks of transactions, patients, supply chains, or customers. Neo4j for Data Scientists and Analysts…shows you how to model, query, and scale graph databases to uncover patterns that SQL often misses. This book bridges the gap between theory and practice, guiding you step by step through real-world applications in finance, healthcare, retail, and manufacturing. Whether you are building fraud detection pipelines, recommendation engines, or knowledge graphs, this guide equips you with the tools to deliver faster and smarter results. What you will learn: Design effective graph data models using nodes, relationships, and propertiesQuery large datasets with Cypher and optimize performance for billions of relationshipsApply graph algorithms for fraud detection, recommendations, and network analysisIntegrate Neo4j with Python, Apache Spark, and Kafka for scalable analyticsBuild graph embeddings and neural networks for machine learning applicationsVisualize and interpret knowledge graphs for actionable business insightsPractical add-ons in every chapter: Key Takeaways that summarize core lessonsApplication Tips to put concepts into practice immediatelyCommon Mistakes to avoid costly pitfallsQuick Quiz flashcards for self-testing and active recallCode you can use right away: From Cypher queries to Python scripts, every chapter includes working examples that help you move from learning to doing. You will practice with hands-on projects across industries, reinforcing your skills through real-world scenarios. Master the graph mindset and gain a competitive edge in data science. Grab your copy today and start analyzing relationships at scale with Neo4j. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
