Description: Title: Building Knowledge Graphs: A Practitioner's Guide Author: Barrasa, Jesus Publisher: O'Reilly Media Binding: Paperback Pages: 288 Dimensions: 9.10h x 6.90w x 0.80d Product Weight: 1.1 lbs. Language: English ISBN: 9781098127107 Incredibly useful, knowledge graphs help organizations keep track of medical research, cybersecurity threat intelligence, GDPR compliance, web user engagement, and much more. They do so by storing interlinked descriptions of entities--objects, events, situations, or abstract concepts---and encoding the underlying information. How do you create a knowledge graph? And how do you move it from theory into production? Using hands-on examples, this practical book shows data scientists and data engineers how to build their own knowledge graphs. Authors Jesus Barrasa and Jim Webber from Neo4j illustrate common patterns for building knowledge graphs that solve many of today's pressing knowledge management problems. You'll quickly discover how these graphs become increasingly useful as you add data and augment them with algorithms and machine learning. Learn the organizing principles necessary to build a knowledge graph Explore how graph databases serve as a foundation for knowledge graphs Understand how to import structured and unstructured data into your graph Follow examples to build integration-and-search knowledge graphs Learn what pattern detection knowledge graphs help you accomplish Explore dependency knowledge graphs through examples Use examples of natural language knowledge graphs and chatbots Use graph algorithms and ML to gain insight into connected data Ships Fast From The USA! Authorized Dealer
Price: 94.99 USD
Location: Milwaukee, Wisconsin
End Time: 2024-11-27T15:17:24.000Z
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Restocking Fee: No
Return shipping will be paid by: Seller
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Book Title: does not apply
Number of Pages: 288 Pages
Publication Name: Building Knowledge Graphs : a Practitioner's Guide
Language: English
Publisher: O'reilly Media, Incorporated
Item Height: 0.9 in
Subject: Data Modeling & Design, Natural Language Processing, Data Visualization, Data Processing
Publication Year: 2023
Type: Textbook
Item Weight: 17.9 Oz
Subject Area: Computers
Author: Jesus Barrasa, Jim Webber
Item Length: 9.2 in
Item Width: 7 in
Format: Trade Paperback