Making Sense of Your Data: Statistics and Machine Learning - Lecture 3

Explore advanced statistical techniques and machine learning applications in neutrino physics through this lecture by Adam Aurisano. Delve into methods for analyzing complex datasets, interpreting results, and extracting meaningful insights from neutrino experiments. Learn how to apply cutting-edge data analysis tools to address key questions in the field, such as neutrino mass ordering, CP violation, and the potential existence of sterile neutrinos. Gain practical skills in utilizing software packages like GENIE, CORSIKA, and GLoBES for neutrino physics research. This lecture is part of a comprehensive program on understanding the universe through neutrinos, designed to prepare the next generation of researchers in this dynamic field.