Graph-Powered Analytics and Machine Learning with TigerGraph
With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical...
Graph-Powered Machine Learning
Modern machine learning demands new approaches. A powerful ML workflow is more than picking the right algorithms. You also need the right tools, technology, datasets and...
Free eBook: Graph Algorithms: Practical Examples in Apache Spark and Neo4j
Whether you are building dynamic network models or forecasting real-world behavior, this book illustrates how graph algorithms deliver value: from finding vulnerabilities...
Graph Data Science for Dummies
Graph Data Science For Dummies walks you through the foundations of graph data science – from defining graph analytics and algorithms to showing you how to use them for...
Plan to Win: Achieving Business Agility in the Age of Urgency
Business agility is now a determining factor for success in today’s data-driven, fast-paced world. To think fast and move first, companies must embrace...
5 CFO Tips for Better Board Reporting
For CFOs, few duties are more critical than presenting to the board of directors. Yet at many companies, the board reporting process becomes a quarterly...
