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Graph-Powered Analytics and Machine Learning with TigerGraph - Driving Business Outcomes with Connected Data (Paperback)
Loot Price: R1,081
Discovery Miles 10 810
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Graph-Powered Analytics and Machine Learning with TigerGraph - Driving Business Outcomes with Connected Data (Paperback)
Expected to ship within 12 - 17 working days
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Total price: R1,101
Discovery Miles: 11 010
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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 data:
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. 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
General
Imprint: |
O'Reilly Media
|
Country of origin: |
United States |
Release date: |
February 2023 |
Authors: |
Victor Lee, Ph.D.
• Phuc Kien Nguyen
• Xinyu Chang
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Dimensions: |
232 x 178mm (L x W) |
Format: |
Paperback
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Pages: |
300 |
ISBN-13: |
978-1-09-810665-2 |
Categories: |
Books
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LSN: |
1-09-810665-2 |
Barcode: |
9781098106652 |
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