Hands-On Graph Analytics with Neo4j
To start with you will cover the basics of graph analytics, Cypher querying language, components of graph architecture, and more. You will implement Neo4j techniques to understand various graph analytics methods to reveal complex relationships in data. You will understand how machine learning can be used to perform smarter graph analytics.
Offered by
Difficulty Level
Intermediate
Completion Time
17h
Language
English
About Book
Who Is This Book For?
This book is for data analysts, business analysts, graph analysts, and database developers looking to store and process graph data to reveal key data insights. This book will also appeal to data scientists who want to build intelligent graph applications catering to different domains. Some experience with Neo4j is required.
Hands-On Graph Analytics with Neo4j
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 17h total length
Graph Databases
The Cypher Query Language
Empowering Your Business with Pure Cypher
The Graph Data Science Library and Path Finding
Spatial Data
Node Importance
Community Detection and Similarity Measures
Using Graph-based Features in Machine Learning
Predicting Relationships
Graph embedding - from Graphs to Matrices
Using Neo4j in Your Web Application
Neo4j at Scale
Related Resources
Access Ready-to-Use Books for Free!
Get instant access to a library of pre-built books—free trial, no credit card required. Start training your team in minutes!