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Knowledge Graph Recommendation Systems for COVID-19

Toronto Machine Learning Series (TMLS) via YouTube

Overview

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Explore the application of knowledge graph recommendation systems in the context of COVID-19 through this insightful conference talk by Miguel González-Fierro, Senior Data Scientist at Microsoft. Gain valuable insights into leveraging Python and recommendation system techniques to address challenges posed by the pandemic. Discover how knowledge graphs can be utilized to enhance information retrieval and decision-making processes in the fight against COVID-19. Delve into the intersection of machine learning, data science, and healthcare as you learn about innovative approaches to managing and analyzing pandemic-related data.

Syllabus

Knowledge Graph Recommendation Systems for COVID 19

Taught by

Toronto Machine Learning Series (TMLS)

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