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Graph Algorithms

Graph Algorithms Computer Science

Graph Algorithms

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Description
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
Product details
Binding:
Paperback
Edition:
illustrated
Number of Pages:
265
Release Date:
2019-06-04
Publication Date:
2019-06-25
Publisher:
O'Reilly Media
Languages:
Original: English
ISBN10:
1492047686
ISBN13:
9781492047681
GPSR Manufacturer Reference:
Weight:
446 g
Height:
177 cm
Width:
237 cm
Thickness:
17 cm

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The items bear minimal signs of past use, such as light scratches or memories in the form of markings. These signs of wear give the items a charming character and tell stories of their previous owners, while not affecting their functionality.
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