Graph Algorithms: Practical Examples in Apache Spark and Neo4j

The Graph Algorithms for Machine Learning book is a comprehensive guide to leveraging graph algorithms in machine learning.

With this practical resource, developers and data scientists will learn how to use graph analytics to build intelligent solutions and enhance their machine learning models.

The book provides hands-on examples of using graph algorithms in Apache Spark and Neo4j, two popular choices for graph analytics.

Readers will discover how graph algorithms can help them find complex structures and patterns in their data, as well as improve the accuracy of their machine learning predictions.

Whether you're looking to build dynamic network models or forecast real-world behavior, this book is an essential resource for anyone interested in leveraging graph algorithms in machine learning.