Can I read Graph Algorithms for Data Science (MEAP V07) on EtoBox?

Graph Algorithms for Data Science (MEAP V07) by Tomaž Bratanič is a nonfiction available to read on EtoBox.

What is Graph Algorithms for Data Science (MEAP V07) about?

Graphs are the natural way to understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with practical examples and concrete advice on implementation and deployment. In Graph Algorithms for Data Science you will learn:• Labeled-property graph modeling• Constructing a graph from structured data such as CSV or SQL• NLP techniques to construct a graph from unstructured data• Cypher query language syntax to manipulate data and extract insights• Social network analysis algorithms like PageRank and community detection• How to translate graph structure to a ML model input with node embedding models• Using graph features in node classification and link prediction workflows Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. It’s filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You’ll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. You don’t need any graph experience to start benefiting from this insightful guide. These powerful gra

Who reads Graph Algorithms for Data Science (MEAP V07)?

Author

Tomaž Bratanič

Publisher

Manning Publications Co. LLC

Published

2023

Language

EN

ISBN

9781617299469

Category

nonfiction

Subjects

Science, Computer Science, Organization And Data Processing