Название: Graph-Powered Analytics and Machine Learning with TigerGraph: Driving Business Outcomes with Connected Data (10th Early Release)Автор: Victor Lee, Phuc Kien Nguyen, Xinyu Chang
Издательство: O’Reilly Media, Inc.
Год: 2023-02-07
Страниц: 149
Язык: английский
Формат: epub
Размер: 17.4 MB
With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available.
You'll explore a three-stage approach to deriving value from connected dаta: connect, analyze, and learn. Victor Lee, Xinyu Chan, and Gaurav Deshpande from TigerGraph present real use cases covering several contemporary business needs. By diving into hands-on exercises using TigerGraph Cloud, you'll quickly become proficient at designing and managing advanced analytics and machine learning solutions for your organization.
After completing Chapter 6, you should be able to:
- List three basic ways that graph data and analytics can improve Machine Learning
- Point out which graph algorithms have proved valuable for unsupervised learning
- Extract graph features to enrich your training data for supervised Machine Learning
- Describe how neural networks have been been extended to learn on graphs
- Provide use cases and examples to illustrate graph-powered Machine Learning
- Choose which types of graph-powered Machine Learning are right for you
Use graph thinking to connect, analyze, and learn from data for advanced analytics and machine learning
Learn how graph analytics and machine learning can deliver key business insights and outcomes
Use five core categories of graph algorithms to drive advanced analytics and machine learning
Deliver a real-time 360-degree view of core business entities, including customer, product, service, supplier, and citizen
Discover insights from connected data through machine learning and advanced analytics
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