Modeling Noisy Count Data II by Sayan Mukherjee

Explore advanced techniques for modeling noisy count data in this lecture from the "Machine Learning for Health and Disease" program. Delve into statistical methods and machine learning approaches for handling complex count datasets, with a focus on applications in biomedicine and health. Learn from expert Sayan Mukherjee as he builds upon foundational concepts to address challenges in analyzing and interpreting noisy count data. Gain insights into cutting-edge methodologies that bridge the gap between mathematical modeling and clinical problems, equipping you with valuable tools for research and practical applications in healthcare data analysis.