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Many powerful Machine Learning algorithms are based on graphs, e.g., Page Rank (Pregel), Recommendation Engines (collaborative filtering), text summarization, and other NLP tasks.
There are even more applications once we consider data pre-processing and feature engineering which are both vital tasks in Machine Learning Pipelines.
In this workshop, we will overview the intersection of graphs and Machine Learning from Graph Analytics to Graph Neural Networks.
Our All-Access Passes are a must if you want to get the most out of this event.
Check them outJörg Schad is Head of Engineering and Machine Learning at ArangoDB.
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