Graph Algorithms Practical Examples in Apache Spark and Neo4j (sách gia công)

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Graph Algorithms Practical Examples in Apache Spark and Neo4j (sách gia công)

Graph Algorithms Practical Examples in Apache Spark and Neo4j (sách gia công)

Graph Algorithms Practical Examples in Apache Spark and Neo4j (sách gia công)

Graph Algorithms Practical Examples in Apache Spark and Neo4j (sách gia công)

Graph Algorithms Practical Examples in Apache Spark and Neo4j (sách gia công)

Graph Algorithms Practical Examples in Apache Spark and Neo4j (sách gia công)

Graph Algorithms Practical Examples in Apache Spark and Neo4j (sách gia công)

Graph Algorithms Practical Examples in Apache Spark and Neo4j (sách gia công)

Graph Algorithms Practical Examples in Apache Spark and Neo4j (sách gia công)

Graph Algorithms Practical Examples in Apache Spark and Neo4j (sách gia công)

Graph Algorithms Practical Examples in Apache Spark and Neo4j (sách gia công)

Graph Algorithms Practical Examples in Apache Spark and Neo4j (sách gia công)

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Graph Algorithms Practical Examples in Apache Spark and Neo4j (sách gia công)

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Graph Algorithms Practical Examples in Apache Spark and Neo4j (sách gia công)

Sách keo gáy, Bìa mềm

Thể loại:Computers - Computer Science

Năm:2019

In lần thứ:1

Ngôn ngữ:english

Trang:256 / 257

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

https://zalo.me/0969436832

0969436832