Graph Algorithms. Practical Examples in
β Mark Needham, Amy E. Hodler
π Library
π
2019
π OβReilly
π English
β¦ LIBER β¦
π
Graph Algorithms: Practical Examples in Apache Spark and Neo4j
β Scribed by Mark Needham, Amy E. Hodler
- Publisher
- OβReilly Media
- Year
- 2019
- Tongue
- English
- Leaves
- 257
- Edition
- 1
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ 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 theyβre 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 patternsβfrom finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. Youβll 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.
β’ Learn how graph analytics reveal more predictive elements in todayβs data
β’ Understand how popular graph algorithms work and how theyβre applied
β’ Use sample code and tips from more than 20 graph algorithm examples
β’ Learn which algorithms to use for different types of questions
β’ Explore examples with working code and sample datasets for Spark and Neo4j
β’ Create an ML workflow for link prediction by combining Neo4j and Spark
β¦ Subjects
Machine Learning; Databases; Python; Graphs; Apache Spark; Cypher; Neo4j; Graph Algorithms; Entry Level
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