Learning from Dependent Data - Lecture 2
Offered By: International Centre for Theoretical Sciences via YouTube
Course Description
Overview
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
Related Courses
Neuronal DynamicsÉcole Polytechnique Fédérale de Lausanne via edX Neuronal Dynamics
École Polytechnique Fédérale de Lausanne via edX Risk and Reliability of offshore structures
Indian Institute of Technology Madras via Swayam Stochastic Processes
Indian Institute of Technology Delhi via Swayam Introductory Statistics : Basic Ideas and Instruments for Statistical Inference
Seoul National University via edX