Using Neo4j and Machine Learning to Create a Decision Engine by Timothy Ward

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10 Jan 2020

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In this presentation, Timothy Ward will share how CluedIn built Neo4j into a decision engine that turns company data into actionable insights. By using machine learning techniques and the graph as a decision tree, they were able to achieve amazing precision in merging and identifying insights in the enterprise. With practical demos and techniques, viewers will discover with this presentation new and effective ways of working with Neo4j. #BIGTH19 #Analytics #MachineLearning #DeepLearning Session presented

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