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OverviewFull Product DetailsAuthor: Estelle ScifoPublisher: Packt Publishing Limited Imprint: Packt Publishing Limited ISBN: 9781804612743ISBN 10: 180461274 Pages: 288 Publication Date: 31 January 2023 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In stock  We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsTable of Contents Introducing and Installing Neo4j Using Existing Data to Build a Knowledge Graph Characterizing a Graph Dataset Using Graph Algorithms to Characterize a Graph Dataset Visualizing Graph Data Building a Machine Learning Model with Graph Features Automatically Extracting Features with Graph Embeddings for Machine Learning Building a GDS Pipeline for Node Classification Model Training Predicting Future Edges Writing Your Custom Graph Algorithm with the Pregel APIReviewsAuthor InformationEstelle Scifo is a Neo4j Certified Professional and Neo4j Graph Data Science certified user. She is currently a machine learning engineer at GraphAware where she builds Neo4j-related solutions to make customers happy with graphs. Before that, she worked in several fields, starting out with research in particle physics, during which she worked at CERN on uncovering Higgs boson properties. She received her PhD in 2014 from the Laboratoire de l’Accélérateur Linéaire (Orsay, France). Continuing her career in industry, she worked in real estate, mobility, and logistics for almost 10 years. In the Neo4j community, she is known as the creator of neomap, a map visualization application for data stored in Neo4j. She also regularly gives talks at conferences such as NODES and PyCon. Her domain expertise and deep insight into the perspective of a beginner's needs make her an excellent teacher. Tab Content 6Author Website:Countries AvailableAll regions |
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