This practical book... more
This practical book walks you through hands-on examples of how to use graph algorithms in Apache Spark and Neo4j--two of the most common choices for graph analytics. Also included: sample code and tips for over 20 practical graph algorithms that cover optimal pathfinding, importance through centrality, and community detection.
Learn how graph analytics vary from conventional statistical analysis
Understand how classic graph algorithms work, and how they are applied
Get guidance on which algorithms to use for different types of questions
Explore algorithm examples with working code and sample datasets from Spark and Neo4j
See how connected feature extraction can increase machine learning accuracy and precision
Walk through creating an ML workflow for link prediction combining Neo4j and Spark less
Reviews and Recommendations
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Kirk Borne Great book: "Graph Algorithms: Practical Examples in #ApacheSpark and @Neo4j" by @amyhodler & @markhneedham, with the Foreward by me😎 ———— Get FREE PDF copy: https://t.co/61yQgYUrud ———— #GraphAnalytics #BigData #GraphDB #LinkedData #SmartData #DataScience #AI #MachineLearning https://t.co/BQaK75O7mP (Source)