Description: FREE SHIPPING UK WIDE Graph-Powered Analytics and Machine Learning with TigerGraph by Xinyu Chang, Victor Lee, PH.D., Phuc Kien Nguyen 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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.Youll 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, youll 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 citizenDiscover insights from connected data through machine learning and advanced analytics Author Biography Victor Lee is Vice President of Machine Learning and AI at TigerGraph. His Ph.D. dissertation was on graph-based similarity and ranking. Dr. Lee has co-authored book chapters on decision trees and dense subgraph discovery. Teaching and training have also been central to his career journey, with activities ranging from developing training materials for chip design to writing the first version of TigerGraphs technical documentation, from teaching 12 years as a full-time or part-time classroom instructor to presenting numerous webinars and in-person workshops. Phuc Kien Nguyen is a data scientist at ABN Amro Bank in Amsterdam. For the past five years, he has helped develop solutions and machine learning models to combat financial crime. He holds an MSc degree in Information Architecture from Delft University of Technology. Next to his day-to-day job, he writes articles at Medium about data science and network analytics. He has a great passion for storytelling, especially through video games. In his spare time, he loves to play football and catch up with the latest development in technology. Details ISBN1098106652 Author Phuc Kien Nguyen Short Title Graph-Powered Analytics and Machine Learning with TigerGraph Publisher OReilly Media Language English Year 2023 ISBN-10 1098106652 ISBN-13 9781098106652 Format Paperback Subtitle Driving Business Outcomes with Connected Data Audience General/Trade Pages 300 Imprint OReilly Media Place of Publication Sebastopol Country of Publication United States AU Release Date 2023-02-28 NZ Release Date 2023-02-28 UK Release Date 2023-02-28 Publication Date 2023-08-04 US Release Date 2023-08-04 DEWEY 005.74 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. SECURE PAYMENT Peace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:143095292;
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Format: Paperback
Language: English
ISBN-13: 9781098106652
Author: Xinyu Chang, Victor Lee, PH.D., Phuc Kien Nguyen
Type: NA
Book Title: Graph-Powered Analytics and Machine Learning with TigerGraph
Publication Name: NA
