Jesterbean
2021-10-23, 03:15 AM
Dear all:
Could anyone please provide a copy of this ebook. ... REGDS Jesterbean
Hands-On Graph Analytics with Neo4j - Author: Estelle Scifo
English | 2020 | ISBN: 1839212611 or ISBN: 9-78-1839212611| 510 pages | EPUB or PDF| 16.4 MB
The book starts with an introduction to the basics of graph analytics, the Cypher query language, and graph architecture
components, and helps you to understand why enterprises have started to adopt graph analytics within their organizations.
You'll find out how to implement Neo4j algorithms and techniques and explore various graph analytics methods to reveal
complex relationships in your data. You'll be able to implement graph analytics catering to different domains such as
fraud detection, graph-based search, recommendation systems, social networking, and data management. You'll also learn
how to store data in graph databases and extract valuable insights from it. As you become well-versed with the techniques,
you'll discover graph machine learning in order to address simple to complex challenges using Neo4j. You will also
understand how to use graph data in a machine learning model in order to make predictions based on your data. Finally,
you'll get to grips with structuring a web application for production using Neo4j.
What you will learn
Become well-versed with Neo4j graph database building blocks, nodes, and relationships Discover how to create, update,
and delete nodes and relationships using Cypher querying Use graphs to improve web search and recommendations Understand
graph algorithms such as pathfinding, spatial search, centrality, and community detection Find out different steps to
integrate graphs in a normal machine learning pipeline Formulate a link prediction problem in the context of machine
learning Implement graph embedding algorithms such as DeepWalk, and use them in Neo4j graphs
https://d1w7fb2mkkr3kw.cloudfront.net/assets/images/book/lrg/9781/8392/9781839212611.jpg
Could anyone please provide a copy of this ebook. ... REGDS Jesterbean
Hands-On Graph Analytics with Neo4j - Author: Estelle Scifo
English | 2020 | ISBN: 1839212611 or ISBN: 9-78-1839212611| 510 pages | EPUB or PDF| 16.4 MB
The book starts with an introduction to the basics of graph analytics, the Cypher query language, and graph architecture
components, and helps you to understand why enterprises have started to adopt graph analytics within their organizations.
You'll find out how to implement Neo4j algorithms and techniques and explore various graph analytics methods to reveal
complex relationships in your data. You'll be able to implement graph analytics catering to different domains such as
fraud detection, graph-based search, recommendation systems, social networking, and data management. You'll also learn
how to store data in graph databases and extract valuable insights from it. As you become well-versed with the techniques,
you'll discover graph machine learning in order to address simple to complex challenges using Neo4j. You will also
understand how to use graph data in a machine learning model in order to make predictions based on your data. Finally,
you'll get to grips with structuring a web application for production using Neo4j.
What you will learn
Become well-versed with Neo4j graph database building blocks, nodes, and relationships Discover how to create, update,
and delete nodes and relationships using Cypher querying Use graphs to improve web search and recommendations Understand
graph algorithms such as pathfinding, spatial search, centrality, and community detection Find out different steps to
integrate graphs in a normal machine learning pipeline Formulate a link prediction problem in the context of machine
learning Implement graph embedding algorithms such as DeepWalk, and use them in Neo4j graphs
https://d1w7fb2mkkr3kw.cloudfront.net/assets/images/book/lrg/9781/8392/9781839212611.jpg