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Graph Algorithms: Practical Examples in Apache , Needham, Hodler+=

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eBay-objectnummer:313256516608
Laatst bijgewerkt op 13 jun 2024 19:29:42 CESTAlle herzieningen bekijkenAlle herzieningen bekijken

Specificaties

Objectstaat
Nieuw: Een nieuw, ongelezen en ongebruikt boek in perfecte staat waarin geen bladzijden ontbreken of ...
PublishedOn
2019-05-31
ISBN
9781492047681
EAN
9781492047681
Subject Area
Mathematics, Computers
Publication Name
Graph Algorithms : Practical Examples in Apache Spark and Neo4j
Publisher
O'reilly Media, Incorporated
Item Length
9.2 in
Subject
Computer Graphics, Programming / Algorithms, Intelligence (Ai) & Semantics, Algebra / General
Publication Year
2019
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
0.8 in
Author
Mark Needham, Amy Hodler
Item Weight
18 Oz
Item Width
7 in
Number of Pages
265 Pages

Over dit product

Product Identifiers

Publisher
O'reilly Media, Incorporated
ISBN-10
1492047686
ISBN-13
9781492047681
eBay Product ID (ePID)
25038750783

Product Key Features

Number of Pages
265 Pages
Language
English
Publication Name
Graph Algorithms : Practical Examples in Apache Spark and Neo4j
Publication Year
2019
Subject
Computer Graphics, Programming / Algorithms, Intelligence (Ai) & Semantics, Algebra / General
Type
Textbook
Author
Mark Needham, Amy Hodler
Subject Area
Mathematics, Computers
Format
Trade Paperback

Dimensions

Item Height
0.8 in
Item Weight
18 Oz
Item Length
9.2 in
Item Width
7 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2019-275313
Illustrated
Yes
Synopsis
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 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, 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, 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 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
LC Classification Number
QA166.245.N44 2019
ebay_catalog_id
4
Copyright Date
2019

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