Share
Graph Data Science with Python and Neo4j (in English)
Timothy Eastridge
(Author)
·
Orange Education Pvt Ltd
· Paperback
Graph Data Science with Python and Neo4j (in English) - Eastridge, Timothy
$ 31.96
$ 37.95
You save: $ 5.99
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Thursday, July 11 and
Friday, July 12.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "Graph Data Science with Python and Neo4j (in English)"
Practical approaches to leveraging graph data science to solve real-world challenges.Book DescriptionGraph 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 Contents1. Introduction to Graph Data Science2. Getting Started with Python and Neo4j3. Import Data into the Neo4j Graph Database4. Cypher Query Language5. Visualizing Graph Networks6. Enriching Neo4j Data with ChatGPT7. Neo4j Vector Index and Retrieval-Augmented Generation (RAG)8. Graph Algorithms in Neo4j9. Recommendation Engines Using Embeddings10. Fraud Detection CLOSING SUMMARY The Future of Graph Data Science Index
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.