Bratanic, Tomaz
Graph Algorithms for Data Science: With Examples in Neo4j
- ISBN 13:
- 9781617299469
- author:
- Bratanic, Tomaz
- format:
- Paperback
- publisher:
- Manning Publications
- language:
- English
- Publication Year:
- 2024
- Pages:
- 352
- Dimensions:
- 23.2 x 18.6 x 2.2 centimetres (0
- Genre:
- Computers
- Condition:
- New
- Availability:
- Item usually sent within 2 working days
Description
Graph Algorithms for Data Science With Examples in Neo4j by Tomaž Bratanic is a practical guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. This book explores the most important algorithms and techniques for graphs in data science, with concrete advice on implementation and deployment. You'll learn how to analyze your data with graphs, revealing hidden connections and new insights. You'll discover how to construct graphs from structured data, use natural language processing techniques to build graphs from unstructured data, and manipulate data using the Cypher query language. The book also covers social network analysis algorithms like PageRank and community detection, as well as how to translate graph structure to a machine learning model input with node embedding models. With this hands-on guide, you'll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. A foreword by Michael Hunger sets the tone for this insightful guide, which is filled with fascinating projects demonstrating the ins-and-outs of graphs.
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