Graphs are the natural way to represent and understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with concrete advice on implementation and deployment. You don’t need any graph experience to start benefiting from this insightful guide. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects.
Guest: Tomaz Bratanic
Book: www.manning.com/books/graph-a...
35% off with code: au35bra
Blog: / bratanic-tomaz
Neo4j Graph Data Science: neo4j.com/docs/graph-data-sci...
Sandbox dev.neo4j.com/try
Code Examples: github.com/tomasonjo/graphs-n...
#neo4j #graphdatabase #datascience #algorithm #python
17 апр 2024