Description: Graph-Powered Analytics and Machine Learning With Tigergraph : Driving Business Outcomes With Connected Data, Paperback by Lee, Victor; Nguyen, Phuc Kien; Thomas, Alexander, ISBN 1098106652, ISBN-13 9781098106652, Like New Used, Free shipping in the US 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, Phuc Kien Nguyen, and Alexander Thomas 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 learningLearn how graph analytics and machine learning can deliver key business insights and outcomesUse five core categories of graph algorithms to drive advanced analytics and machine learningDeliver 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
Price: 43.89 USD
Location: Jessup, Maryland
End Time: 2024-10-26T13:51:09.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Book Title: Graph-Powered Analytics and Machine Learning With Tigergraph : Dr
Number of Pages: 300 Pages
Language: English
Publication Name: Graph-Powered Analytics and Machine Learning with TigerGraph : Driving Business Outcomes with Connected Data
Publisher: O'reilly Media, Incorporated
Item Height: 0.8 in
Publication Year: 2023
Subject: Enterprise Applications / Business Intelligence Tools, Data Visualization, Data Processing
Item Weight: 19.9 Oz
Type: Textbook
Author: Alexander Thomas, Victor Lee, Phuc Nguyen
Item Length: 9.2 in
Subject Area: Computers
Item Width: 7 in
Format: Trade Paperback
