Amy hodler mark needham (19 risultati)
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Da: BooksRun, Philadelphia, PA, U.S.A.BooksRun
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EUR 17,65
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Paperback. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Da: HPB-Red, Dallas, TX, U.S.A.HPB-Red
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EUR 14,41
EUR 3,24 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: 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.
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Da: CampusBear, Coppell, TX, U.S.A.CampusBear
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EUR 21,11
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paperback. Condizione: As New. No highlighting. Very minimal wear.
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Da: HPB Inc., Dallas, TX, U.S.A.HPB Inc.
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Molto buono
EUR 17,79
EUR 3,24 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
paperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 49,42
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Condizione: New.
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Da: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
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EUR 52,97
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Paperback. 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 dynami…c 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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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 54,21
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Condizione: As New. Unread book in perfect condition.
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Da: California Books, Miami, FL, U.S.A.California Books
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EUR 58,70
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Condizione: New.
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 62,55
Spedizione gratuitaSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Paperback. 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 dynami…c 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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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 51,30
EUR 17,53 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Condizione: New.
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 76,45
EUR 11,69 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Paperback. Condizione: Brand New. 235 pages. 9.25x7.00x0.75 inches. In Stock.
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 79,63
EUR 14,00 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Condizione: New. In English.
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Da: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 54,89
EUR 43,17 spedizioneSpedito in U.S.A.Quantità: Più di 20 disponibili
Paperback. 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 dynami…c 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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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 88,43
EUR 17,53 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Condizione: As New. Unread book in perfect condition.
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Da: moluna, Greven, Germaniamoluna
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 60,20
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Condizione: 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.
Editore: O'Reilly, 2019
Da: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.Goodwill of Silicon Valley
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Buono
EUR 44,42
EUR 3,45 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Condizione: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 60,18
EUR 75,96 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Paperback. 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 dynami…c 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.
Editore: O'Reilly, 2019
Da: 3Brothers Bookstore, Egg harbor township, NJ, U.S.A.3Brothers Bookstore
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Buono
EUR 87,39
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Condizione: good. Books may contain some notes and highlighting. Supplements such as Access Codes, Cd's Dust Jackets, etc. are not guaranteed with used book purchases.
The graph algorithm for data analysis is based on Spark and Neo4j (produced by Turing)(Chinese Edition)
MA KE NI DA MU ( Mark Needham ) . AI MI E. . HUO DE LE ( Amy . E. . Hodler ) . TANG FU NIAN YI
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Da: liu xing, Nanjing, JS, Cinaliu xing
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 101,75
EUR 15,54 spedizioneSpedito da Cina a U.S.A.Quantità: 3 disponibili
paperback. Condizione: New. Paperback. Pub Date: 2020-09-01 Pages: 195 Language: Chinese Publisher: Peoples Posts and Telecommunications Publishing House Graph analysis can reveal the operation mechanism of complex systems and large-scale networks. and graph algorithms provide a rapid modeling framework for building intelligent…applications . Which helps to make predictions more accurately and faster.?Many artificial intelligence problems. including product recommendation and fraud detection. can be transformed into gra.
