Making Sense of Your Data: Statistics and Machine Learning - Lecture 2

Explore advanced statistical techniques and machine learning applications in neutrino physics through this comprehensive lecture. Delve into methods for analyzing complex datasets, interpreting results, and extracting meaningful insights from neutrino experiments. Learn how to apply cutting-edge statistical tools and machine learning algorithms to address key questions in neutrino research, including neutrino mass ordering, CP violation, and the search for sterile neutrinos. Gain practical skills in data preprocessing, feature selection, and model evaluation specific to neutrino physics challenges. Understand the importance of robust statistical analysis in drawing accurate conclusions from neutrino experiments and advancing our understanding of these elusive particles.

Making Sense of Your Data: Statistics and Machine Learning (Lecture 2) by Adam Aurisano