Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: California Books, Miami, FL, Estados Unidos de America
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Publicado por Packt Publishing, Limited, 2023
ISBN 10: 180461274X ISBN 13: 9781804612743
Idioma: Inglés
Librería: Better World Books, Mishawaka, IN, Estados Unidos de America
EUR 35,64
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Añadir al carritoCondición: Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects.
Publicado por Packt Publishing 1/31/2023, 2023
ISBN 10: 180461274X ISBN 13: 9781804612743
Idioma: Inglés
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 45,51
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Añadir al carritoPaperback or Softback. Condición: New. Graph Data Science with Neo4j: Learn how to use Neo4j 5 with Graph Data Science library 2.0 and its Python driver for your project 1.1. Book.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 46,44
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 46,41
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Librería: Goodbooks Company, Springdale, AR, Estados Unidos de America
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Añadir al carritoCondición: acceptable. This copy may contain significant wear, including bending, heavy writing, tears, and or water damage. This book is a functional copy, not necessarily a beautiful copy. Copy may have loose pages. May not include access codes or CDs. May be an Ex library book with stickers and stamps. Dustjacket may be missing.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
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Añadir al carritoPAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por Packt Publishing Limited, 2023
ISBN 10: 180461274X ISBN 13: 9781804612743
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 51,94
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
Librería: moluna, Greven, Alemania
EUR 56,43
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 64,77
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Supercharge your data with the limitless potential of Neo4j 5, the premier graph database for cutting-edge machine learningPurchase of the print or Kindle book includes a free PDF Elektronisches Buch Key Features:Extract meaningful information from graph data with Neo4j's latest version 5 Use Graph Algorithms into a regular Machine Learning pipeline in Python Learn the core principles of the Graph Data Science Library to make predictions and create data science pipelines. Book Description: Neo4j, along with its Graph Data Science (GDS) library, is a complete solution to store, query, and analyze graph data. As graph databases are getting more popular among developers, data scientists are likely to face such databases in their career, making it an indispensable skill to work with graph algorithms for extracting context information and improving the overall model prediction performance. Data scientists working with Python will be able to put their knowledge to work with this practical guide to Neo4j and the GDS library that offers step-by-step explanations of essential concepts and practical instructions for implementing data science techniques on graph data using the latest Neo4j version 5 and its associated libraries. You'll start by querying Neo4j with Cypher and learn how to characterize graph datasets. As you get the hang of running graph algorithms on graph data stored into Neo4j, you'll understand the new and advanced capabilities of the GDS library that enable you to make predictions and write data science pipelines. Using the newly released GDSL Python driver, you'll be able to integrate graph algorithms into your ML pipeline. By the end of this book, you'll be able to take advantage of the relationships in your dataset to improve your current model and make other types of elaborate predictions. What You Will Learn:Use the Cypher query language to query graph databases such as Neo4j Build graph datasets from your own data and public knowledge graphs Make graph-specific predictions such as link prediction Explore the latest version of Neo4j to build a graph data science pipeline Run a scikit-learn prediction algorithm with graph data Train a predictive embedding algorithm in GDS and manage the model store Who this book is for: If you're a data scientist or data professional with a foundation in the basics of Neo4j and are now ready to understand how to build advanced analytics solutions, you'll find this graph data science book useful. Familiarity with the major components of a data science project in Python and Neo4j is necessary to follow the concepts covered in this book.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 74,63
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 76,49
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