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Graphische Algorithmen für Data Science: Mit Beispielen in NEO4J, Taschenbuch von Brat...-
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eBay-Artikelnr.:386803946035
Artikelmerkmale
- Artikelzustand
- Book Title
- Graph Algorithms for Data Science : With Examples in NEO4J
- ISBN
- 9781617299469
- Subject Area
- Computers
- Publication Name
- Graph Algorithms for Data Science
- Publisher
- Manning Publications Co. LLC
- Item Length
- 9.3 in
- Subject
- Data Processing, Databases / Data Mining
- Publication Year
- 2024
- Type
- Study Guide
- Format
- Trade Paperback
- Language
- English
- Item Height
- 0.7 in
- Educational Level
- High School, Elementary School
- Item Weight
- 23.1 Oz
- Item Width
- 7.3 in
- Number of Pages
- 325 Pages
Über dieses Produkt
Product Identifiers
Publisher
Manning Publications Co. LLC
ISBN-10
1617299464
ISBN-13
9781617299469
eBay Product ID (ePID)
26057273213
Product Key Features
Educational Level
High School, Elementary School
Number of Pages
325 Pages
Language
English
Publication Name
Graph Algorithms for Data Science
Publication Year
2024
Subject
Data Processing, Databases / Data Mining
Type
Study Guide
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Height
0.7 in
Item Weight
23.1 Oz
Item Length
9.3 in
Item Width
7.3 in
Additional Product Features
Intended Audience
Elementary/High School
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
Synopsis
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., 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. Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications. 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. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects., A graph, put simply, is a network of connected data. Graphs are an efficient way to identify and explore the significant relationships naturally occurring within a dataset. This book presents the most important algorithms for graph data science with examples from machine learning, business applications, natural language processing, and more. Graph Algorithms for Data Science shows you how to construct and analyze graphs from structured and unstructured data. In it, you'll learn to apply graph algorithms like PageRank, community detection/clustering, and knowledge graph models by putting each new algorithm to work in a hands-on data project. This cutting-edge book also demonstrates how you can create graphs that optimize input for Al models using node embedding. What's Inside, Creating knowledge graphs, Node classification and link prediction workflows, NLP techniques for graph construction, For data scientists who know machine learning basics. Examples use the Cypher query language, which is explained in the book.
LC Classification Number
QA166.245.B7 2024
Artikelbeschreibung des Verkäufers
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Verkäuferbewertungen (353.520)
- o***l (310)- Bewertung vom Käufer.Letztes JahrBestätigter KaufThe item was described to a Tee. Very good communication. Shipping was just a little slow. The box the set of books comes in was damaged (bent corners) due to packaging. Not a deal breaker because the grand kids will not store in that box; might be if it were to be given as a present. The three books in the box arrived in prefect shape. I WOULD purchase from greatbookprices1 again in the future. ThanksConstruction Site Board Books Set, Hardcover by Rinker, Sherri Duskey; Lichte... (Nr. 364394914625)
- i***y (711)- Bewertung vom Käufer.Letzte 6 MonateBestätigter Kauf2 volumes of Pogo comic strips, new and in perfect condition. Price was good, but shipping cost ($30 for two books) seems like a lot for how long it took to get delivered (23 days from Illinois to Spain). Also, seller communication was not great. First two times I wrote, their response did not address question. Third response explained at length about the private courier service they use and how it should take 1-10 business days to deliver. Maybe they should consider a different courier service.
- r***_ (108)- Bewertung vom Käufer.Letzter MonatBestätigter Kauf*Same as the other review* Purchased two box sets from this seller with one being advertised as "like new" but was delivered as if it was actually new. Shipping time was a little slow, takes about 10 days to ship out and it takes a while to get through the system. But the packing was great and I'm still overall happy with my purchase.
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