Overview
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Explore the second lecture on Learning from Dependent Data, delivered by Prateek Jain as part of the Discussion Meeting on Data Science: Probabilistic and Optimization Methods. Delve into advanced concepts and techniques for analyzing interconnected datasets, building upon the foundations established in the previous session. Gain insights into the challenges and methodologies associated with extracting meaningful information from complex, interdependent data structures. Enhance your understanding of cutting-edge approaches in data science, particularly focusing on probabilistic and optimization methods applied to dependent data scenarios.
Syllabus
Learning from Dependent Data (Lecture 2) by Prateek Jain
Taught by
International Centre for Theoretical Sciences