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Graph Algorithms for Data Science : With Examples in NEO4J, Paperback by Brat...
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Located in: Jessup, Maryland, United States
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Estimated between Mon, 3 Jun and Fri, 7 Jun to 43230
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eBay item number:386803946035
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Book Title
- Graph Algorithms for Data Science : With Examples in NEO4J
- ISBN
- 9781617299469
- Publication Year
- 2024
- Type
- Study Guide
- Format
- Trade Paperback
- Language
- English
- Publication Name
- Graph Algorithms for Data Science
- Item Height
- 0.7in
- Item Length
- 9.3in
- Publisher
- Manning Publications Co. LLC
- Item Width
- 7.3in
- Item Weight
- 23.1 Oz
- Number of Pages
- 325 Pages
About this product
Product Information
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 graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects. about the technology Graphs reveal the relationships in your data. Tracking these interlinking connections reveals new insights and influences and lets you analyze each data point as part of a larger whole. This interconnected data is perfect for machine learning, as well as analyzing social networks, communities, and even product recommendations. about the book Graph Algorithms for Data Science teaches you how to construct graphs from both structured and unstructured data. You''ll learn how the flexible Cypher query language can be used to easily manipulate graph structures, and extract amazing insights. The book explores common and useful graph algorithms like PageRank and community detection/clustering algorithms. Each new algorithm you learn is instantly put into action to complete a hands-on data project, including modeling a social network! Finally, you''ll learn how to utilize graphs to upgrade your machine learning, including utilizing node embedding models and graph neural networks.
Product Identifiers
Publisher
Manning Publications Co. LLC
ISBN-10
1617299464
ISBN-13
9781617299469
eBay Product ID (ePID)
26057273213
Product Key Features
Publication Name
Graph Algorithms for Data Science
Format
Trade Paperback
Language
English
Publication Year
2024
Type
Study Guide
Number of Pages
325 Pages
Dimensions
Item Length
9.3in
Item Height
0.7in
Item Width
7.3in
Item Weight
23.1 Oz
Additional Product Features
Lc Classification Number
Qa166.245.B7 2024
Reviews
'The book covers topics in-depth but is easy to understand. Though delving into theory, it doesn't lose its focus of being a more practical guide. ' Carl Yu 'A good starting point to getting started with network analysis and how to extract the essential information you need easily.' Andrea Paciolla 'A great introduction to how to use graphs and data they can provide.' Marcin Sek
Table of Content
table of contents detailed TOC READ IN LIVEBOOK 1GRAPHS AND NETWORK SCIENCE: AN INTRODUCTION READ IN LIVEBOOK 2REPRESENTING NETWORK STRUCTURE - DESIGN YOUR FIRST GRAPH MODEL READ IN LIVEBOOK 3YOUR FIRST STEPS WITH THE CYPHER QUERY LANGUAGE READ IN LIVEBOOK 4CYPHER AGGREGATIONS AND SOCIAL NETWORK ANALYSIS 5 INFERRING NETWORKS AND MONOPARTITE PROJECTIONS 6 CONSTRUCT A GRAPH USING NLP TECHNIQUES 7 NODE EMBEDDINGS AND CLASSIFICATION <div class="sect1" style="text-transform: uppercase; font-w
Copyright Date
2024
Educational Level
High School, Elementary School
Topic
Data Processing, Databases / Data Mining
Intended Audience
Elementary/High School
Genre
Computers
Item description from the seller
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eBay item number:386803946035
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