Graph data science with python and neo4j
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Practical approaches to leveraging graph data science to solve real-world challenges.
Book Description
Graph Data Science with Python and Neo4j is your ultimate guide to unleashing the potential of graph data science by blending Python's robust capabilities with Neo4j's innovative graph database technology. From fundamental concepts to advanced analytics and machine learning techniques, you'll learn how to leverage interconnected data to drive actionable insights. Beyond theory, this book focuses on practical application, providing you with the hands-on skills needed to tackle real-world challenges.
You'll explore cutting-edge integrations with Large Language Models (LLMs) like ChatGPT to build advanced recommendation systems. With intuitive frameworks and interconnected data strategies, you'll elevate your analytical prowess.
This book offers a straightforward approach to mastering graph data science. With detailed explanations, real-world examples, and a dedicated GitHub repository filled with code examples, this book is an indispensable resource for anyone seeking to enhance their data practices with graph technology. Join us on this transformative journey across various industries, and unlock new, actionable insights from your data.
Table of Contents
Introduction to Graph Data Science
Getting Started with Python and Neo4j
Import Data into the Neo4j Graph Database
Cypher Query Language
Visualizing Graph Networks
Enriching Neo4j Data with ChatGPT
Neo4j Vector Index and Retrieval-Augmented Generation (RAG)
Graph Algorithms in Neo4j
Recommendation Engines Using Embeddings
Fraud Detection
CLOSING SUMMARY
The Future of Graph Data Science
Index
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Taal: en
Bindwijze: E-book
Oorspronkelijke releasedatum: 11 maart 2024
Ebook Formaat: EPUB3
Hoofdauteur: Timothy Eastridge
Hoofduitgeverij: Orange Education Pvt Ltd
Lees dit ebook op: Desktop (Mac en Windows)
Lees dit ebook op: Kobo e-reader
Lees dit ebook op: Android (smartphone en tablet)
Lees dit ebook op: iOS (smartphone en tablet)
Lees dit ebook op: Windows (smartphone en tablet)
Inhoud van Ebook Bevat: Tekst
Fabrikantgegevens: De informatie van de fabrikant is momenteel niet beschikbaar.
Editie: 1
Studieboek: Nee
EAN: 9788197081934