Alessandro Negro

Move beyond analyzing data and start making decisions based on useful, contextual knowledge. The cutting-edge knowledge graphs (KG) approach puts that power in your hands. In  Knowledge Graphs Applied , you’ll discover the theory of knowledge graphs and learn how to build services that can demonstrate intelligent behavior. You’ll learn to create KGs from first principles and go hands-on to develop advisor applications for real-world domains like healthcare and finance.

Summary In  Graph-Powered Machine Learning , you will learn:     The lifecycle of a machine learning project     Graphs in big data platforms     Data source modeling using graphs     Graph-based natural language processing, recommendations, and fraud detection techniques     Graph algorithms     Working with Neo4J