Graph Algorithms: Practical Examples in Apache Spark and Neo4j by Amy Hodler (En

Description: Graph Algorithms by Amy Hodler, Mark Needham With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether theyre used for building dynamic network models or forecasting real-world behavior. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether theyre used for building dynamic network models or forecasting real-world behavior. Mark Needham and Amy Hodler from Neo4j explain how graph algorithms describe complex structures and reveal difficult-to-find patterns-from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. Youll walk through hands-on examples that show you how to use graph algorithms in Apache Spark and Neo4j, two of the most common choices for graph analytics. Learn how graph analytics reveal more predictive elements in todays data Understand how popular graph algorithms work and how theyre applied Use sample code and tips from more than 20 graph algorithm examples Learn which algorithms to use for different types of questions Explore examples with working code and sample datasets for Spark and Neo4j Create an ML workflow for link prediction by combining Neo4j and Spark" Author Biography Mark Needham is a graph advocate and Developer Relations Engineer at Neo4j. Mark helps users embrace graphs and Neo4j, building sophisticated solutions to challenging data problems. Mark has deep expertise in graph data having previously helped to build Neo4js Causal Clustering system. Mark writes about his experiences of being a graphista on a popular blog at markhneedham.com.Amy Hodler is a network science devotee and AI and Graph Analytics Program Manager at Neo4j. She promotes the use of graph analytics to reveal structures within real-world networks and predict dynamic behavior. Amy helps teams apply novel approaches to generate new opportunities at companies such as EDS, Microsoft, Hewlett-Packard (HP), Hitachi IoT, and Cray Inc. Amy has a love for science and art with a fascination for complexity studies and graph theory. Details ISBN1492047686 Author Mark Needham Pages 300 Year 2019 ISBN-10 1492047686 ISBN-13 9781492047681 Format Paperback Subtitle Practical Examples in Apache Spark and Neo4j Place of Publication Sebastopol Country of Publication United States Publication Date 2019-05-31 DEWEY 006.31 Short Title Graph Algorithms Language English Audience Professional and Scholarly UK Release Date 2019-05-31 AU Release Date 2019-05-31 NZ Release Date 2019-05-31 US Release Date 2019-05-31 Imprint OReilly Media Illustrator Marina Muun Birth 1923 Affiliation University of Ostrava, Czech Republic Position Professor and Chair Qualifications BM,BSc(Hons),MSc,BM MRCPCH,FAcadMEd,MRCPS(Glasg) Publisher OReilly Media 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! TheNile_Item_ID:123727986;

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