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Obtaining Answers from Social Media Data Using Neural Databases

Toronto Machine Learning Series (TMLS) via YouTube

Overview

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Explore the intersection of social media data analysis and AI techniques in this insightful 53-minute talk by Alon Halevy, Director of Facebook AI. Delve into the challenges faced by online social networks in detecting policy-violating content and ranking user-relevant information. Examine the limitations of current machine learning approaches and discover opportunities for integrating symbolic AI methods to enhance performance. Learn about Neural Databases, an innovative system that leverages NLP transformers to query textual data without relying on traditional database schemas. Gain valuable insights into the future of data management and AI applications in social media from an industry expert with extensive experience in structured data research and database systems.

Syllabus

Obtaining Answers from Social Media Data

Taught by

Toronto Machine Learning Series (TMLS)

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