Statistical Data Analysis and Machine Learning for Neutrino Physics - Lecture 1

Explore the fundamentals of statistical data analysis and machine learning in neutrino physics through this lecture by Adam Aurisano. Part of the "Understanding the Universe Through Neutrinos" program at the International Centre for Theoretical Sciences, this talk introduces key concepts and techniques used in analyzing complex neutrino data. Learn how statistical methods and machine learning algorithms are applied to extract meaningful insights from neutrino experiments, addressing critical questions in particle physics beyond the Standard Model. Gain valuable knowledge on data processing, statistical inference, and machine learning applications specific to neutrino research, setting the foundation for advanced studies in this cutting-edge field of physics.