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9781492047681 - Graph Algorithms: Practical Examples in Apache Spark and Neo4j di Needham, Mark; Hodler, Amy E (30 risultati)
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Graph Algorithms: Practical Examples in Apache Spark and Neo4j
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Graph Algorithms: Practical Examples in Apache Spark and Neo4j
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Graph Algorithms: Practical Examples in Apache Spark and Neo4j
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Graph Algorithms: Practical Examples in Apache Spark and Neo4j
Lingua: Inglese
Editore: O'Reilly Media (edition 1), 2019
ISBN 10: 1492047686 ISBN 13: 9781492047681
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Graph Algorithms : Practical Examples in Apache Spark and Neo4j
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Graph Algorithms: Practical Examples in Apache Spark and Neo4j
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Aggiungi al carrelloPaperback. Condizione: New. Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world behavior. Mark Needham and Amy Hodler from Neo4j explain how graph algorithms describe complex structures and reveal difficult-to-find patterns-from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. You'll walk through hands-on examples that show you how to use graph algorithms in Apache Spark and Neo4j, two of the most common choices for graph analytics. Learn how graph analytics reveal more predictive elements in today's data Understand how popular graph algorithms work and how they're applied Use sample code and tips from more than 20 graph algorithm examples Learn which algorithms to use for different types of questions Explore examples with working code and sample datasets for Spark and Neo4j Create an ML workflow for link prediction by combining Neo4j and Spark.
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Graph Algorithms
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Graph Algorithms : Practical Examples in Apache Spark and Neo4j
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Graph Algorithms: Practical Examples in Apache Spark and Neo4j
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Graph Algorithms
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Aggiungi al carrelloPaperback. Condizione: New. Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world behavior. Mark Needham and Amy Hodler from Neo4j explain how graph algorithms describe complex structures and reveal difficult-to-find patterns-from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. You'll walk through hands-on examples that show you how to use graph algorithms in Apache Spark and Neo4j, two of the most common choices for graph analytics. Learn how graph analytics reveal more predictive elements in today's data Understand how popular graph algorithms work and how they're applied Use sample code and tips from more than 20 graph algorithm examples Learn which algorithms to use for different types of questions Explore examples with working code and sample datasets for Spark and Neo4j Create an ML workflow for link prediction by combining Neo4j and Spark.
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Graph Algorithms: Practical Examples in Apache Spark and Neo4j
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Aggiungi al carrelloPaperback. Condizione: Very Good. Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world behaviour. Mark Needham and Amy Hodler from Neo4j explain how graph algorithms describe complex structures and reveal difficult-to-find patterns-from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions.- You'll walk through hands-on examples that show you how to use graph algorithms in Apache Spark.
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Graph Algorithms : Practical Examples in Apache Spark and Neo4j
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Graph Algorithms: Practical Examples in Apache Spark and Neo4j (Paperback or Softback)
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Paperback or Softback. Condizione: New. Graph Algorithms: Practical Examples in Apache Spark and Neo4j. Book.
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Graph Algorithms: Practical Examples in Apache Spark and Neo4j
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Graph Algorithms: Practical Examples in Apache Spark and Neo4j
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Graph Algorithms: Practical Examples in Apache Spark and Neo4j
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Graph Algorithms
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Aggiungi al carrelloPaperback. Condizione: New. Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world behavior. Mark Needham and Amy Hodler from Neo4j explain how graph algorithms describe complex structures and reveal difficult-to-find patterns-from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. You'll walk through hands-on examples that show you how to use graph algorithms in Apache Spark and Neo4j, two of the most common choices for graph analytics. Learn how graph analytics reveal more predictive elements in today's data Understand how popular graph algorithms work and how they're applied Use sample code and tips from more than 20 graph algorithm examples Learn which algorithms to use for different types of questions Explore examples with working code and sample datasets for Spark and Neo4j Create an ML workflow for link prediction by combining Neo4j and Spark.
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Graph Algorithms: Practical Examples in Apache Spark and Neo4j
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Graph Algorithms: Practical Examples in Apache Spark and Neo4j
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Graph Algorithms : Practical Examples in Apache Spark and Neo4j
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Aggiungi al carrelloCondizione: New. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they re used for building dynamic network models or forecasting real-world behavior.Über den AutorrnrnMark Needha.
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Graph Algorithms: Practical Examples in Apache Spark and Neo4j
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Aggiungi al carrelloPaperback. Condizione: New. Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world behavior. Mark Needham and Amy Hodler from Neo4j explain how graph algorithms describe complex structures and reveal difficult-to-find patterns-from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. You'll walk through hands-on examples that show you how to use graph algorithms in Apache Spark and Neo4j, two of the most common choices for graph analytics. Learn how graph analytics reveal more predictive elements in today's data Understand how popular graph algorithms work and how they're applied Use sample code and tips from more than 20 graph algorithm examples Learn which algorithms to use for different types of questions Explore examples with working code and sample datasets for Spark and Neo4j Create an ML workflow for link prediction by combining Neo4j and Spark.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide,developers and data scientists will discover how graph analytics deliver value, whether they're used for building dynamic network models or forecasting real-world behavior.Mark Needham and Amy Hodler from Neo4j explain how graph algorithms describe complex structures and reveal difficult-to-find patternsfrom finding vulnerabilities and bottlenecksto detecting communities and improving machine learning predictions. You'll walk through hands-on examples that show you how to use graph algorithms in Apache Spark and Neo4j, two of the most common choices for graph analytics.- Learn how graph analytics reveal more predictive elements in today's data- Understand how popular graph algorithms work and how they're applied- Use sample code and tips from more than 20 graph algorithm examples- Learn which algorithms to use for different types of questions- Explore examples with working code and sample datasets for Spark and Neo4j- Create an ML workflow for link prediction by combining Neo4j and Spark.
