Graph Algorithms
Practical Examples in Apache Spark & Neo4j
Recommended by Kirk Borne, and 1 others. See all reviewsRanked #13 in Graph Theory, Ranked #18 in Graphs — see more rankings.
Discover how graph algorithms can help you leverage the relationships within your data to develop more intelligent solutions and enhance your machine learning models. You'll learn how graph analytics are uniquely suited to unfold complex structures and reveal difficult-to-find patterns lurking in your data. Whether you are trying to build dynamic network models or forecast real-world behavior, this book illustrates how graph algorithms deliver value--from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions.
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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)
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