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Learning from Dependent Data - Lecture 2

Offered By: International Centre for Theoretical Sciences via YouTube

Tags

Machine Learning Courses Time Series Analysis Courses Markov Chains Courses Stochastic Processes Courses Concentration Inequalities Courses Ergodic Theory Courses Statistical Learning Theory Courses

Course Description

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

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