Learning from Dependent Data - Lecture 1

Explore the foundations of learning from dependent data in this lecture by Prateek Jain, part of the Data Science: Probabilistic and Optimization Methods discussion meeting. Delve into the challenges and techniques for analyzing interconnected datasets, a crucial aspect of modern data science. Gain insights into how dependency structures in data impact learning algorithms and statistical inference. Understand the theoretical underpinnings and practical implications of working with non-independent observations. Discover methods for adapting traditional machine learning approaches to handle dependent data effectively. This lecture sets the stage for advanced topics in data analysis, emphasizing the importance of considering data dependencies in real-world applications.